{
  "pack_id": "scene-and-cognitive-video-qa",
  "title": "Scene and cognitive video QA",
  "version": "0.1.0",
  "summary": "A collection of nouns and verbs for multi-frame scene, transition, camera-zoom stability, reading-speed and split-attention cognitive-load, live desktop web-journey provenance, and widescreen lower-band frosted-caption geometry checks.",
  "dependencies": [
    "frame-by-frame-video-qa",
    "audio-and-narration-qa",
    "video-qa",
    "findings-to-fixes"
  ],
  "boundaries": [
    "Every multi-frame and cognitive QA report binds to the exact SHA-256 of the rendered video inspected.",
    "Automated dwell, zoom-drift, cognitive-overlap, journey-provenance and caption-band checks catch structural defects; a human viewer still judges narrative clarity and visual craft.",
    "Standard-library code executes locally without network calls, browser launches or remote model APIs.",
    "Importing the pack writes nothing, enqueues nothing and activates nothing."
  ],
  "nouns": [
    {
      "slug": "pack",
      "category": "noun.skill_pack",
      "role": "pack",
      "title": "A collection of nouns and verbs for multi-frame scene, transition, slide stability and cognitive-load video QA",
      "value": {
        "lets_workers": "Evaluate groups of frames across scene cuts for sub-second flash shots and ghosting text-over-text crossfades, block unmotivated Ken Burns zoom or pan drift on static slides and terminals, measure on-screen reading speed and split-attention prose conflicts against concurrent speech and captions, verify authentic desktop web-journey provenance from landing page through click navigation without submitting live forms, and check burned-in frosted-glass rounded-pill captions centered in the widescreen lower horizontal space.",
        "flow": [
          {
            "verb": {
              "$verb": "scene-and-cognitive-video-qa.audit-shot-dwell-and-transitions"
            },
            "when": "Check multi-frame shot durations and text-bearing transition overlaps across cuts."
          },
          {
            "verb": {
              "$verb": "scene-and-cognitive-video-qa.audit-camera-and-slide-stability"
            },
            "when": "Check static slides, cards, terminals and browser captures for unmotivated Ken Burns zoom or pan drift."
          },
          {
            "verb": {
              "$verb": "scene-and-cognitive-video-qa.audit-reading-and-cognitive-load"
            },
            "when": "Check stage text dwell speed, disallowed must_read escapes and split-attention prose conflicts against speech."
          },
          {
            "verb": {
              "$verb": "scene-and-cognitive-video-qa.audit-web-journey-and-captions"
            },
            "when": "Verify desktop website landing-and-click provenance plus centered frosted-glass lower-band captions."
          },
          {
            "verb": {
              "$verb": "scene-and-cognitive-video-qa.compile-scene-cognitive-report"
            },
            "when": "Bind all five multi-frame and cognitive checks into one digest-pinned QA report."
          }
        ],
        "guardrails": [
          {
            "$pin": "guardrail.exact-video-digest"
          },
          {
            "$pin": "guardrail.no-live-form-submit"
          },
          {
            "$pin": "guardrail.lock-static-slides-one-to-one"
          }
        ],
        "tool": {
          "$pin": "tool.scene-cognitive-qa"
        },
        "worked_example": "Synthetic three-shot explainer bundle recomputed by test_scene_cognitive_qa.py: catches a 0.80 s flash section card, an 8-frame text-over-text crossfade, a 2.8 percent Ken Burns zoom drift on a static hero slide, a 19-word stage sentence competing with unrelated narration, a cropped 980 px mid-page web card with no landing click, and an un-rounded native fullscreen caption box sitting 15 px off the lower-band vertical center."
      },
      "relations": [
        [
          "requires_noun",
          "guardrail.exact-video-digest"
        ],
        [
          "requires_noun",
          "guardrail.no-live-form-submit"
        ],
        [
          "requires_noun",
          "guardrail.lock-static-slides-one-to-one"
        ],
        [
          "requires_noun",
          "spec.scene-cognitive-gates"
        ],
        [
          "requires_noun",
          "rules.frosted-caption-pill"
        ],
        [
          "requires_noun",
          "tool.scene-cognitive-qa"
        ],
        [
          "requires_noun",
          "template.scene-cognitive-qa-report"
        ]
      ]
    },
    {
      "slug": "guardrail.exact-video-digest",
      "category": "noun.skill_pack",
      "role": "guardrail",
      "title": "Guardrail: bind every multi-frame and cognitive QA report to the exact video SHA-256",
      "category_reason": "Prevents stale storyboard or pre-caption measurements from certifying a re-encoded video.",
      "value": {
        "rule": "Every scene, transition, camera-stability and caption-band measurement names the 64-hex SHA-256 of the exact encoded MP4 inspected.",
        "how_it_is_checked": "compile_scene_cognitive_report and template.scene-cognitive-qa-report enforce a 64-hex media_sha256."
      }
    },
    {
      "slug": "guardrail.no-live-form-submit",
      "category": "noun.skill_pack",
      "role": "guardrail",
      "title": "Guardrail: live website recordings show landing and typing without ever submitting synthetic forms",
      "category_reason": "Prevents demo captures from polluting live intake queues.",
      "value": {
        "rule": "Website recordings navigate from the real landing page to the target route and type synthetic text into inputs for illustration only, clearing without submitting.",
        "how_it_is_checked": "evaluate_live_web_journey_provenance emits a blocker finding if form_submitted is true."
      }
    },
    {
      "slug": "guardrail.lock-static-slides-one-to-one",
      "category": "noun.skill_pack",
      "role": "guardrail",
      "title": "Guardrail: keep static slides, typographic cards and terminals locked at 1:1 scale unless zooming to a named focal target",
      "category_reason": "Eliminates unmotivated Ken Burns scale drift that softens rasterized text.",
      "value": {
        "rule": "Static slides, section cards, typographic quotes, terminals and full-window browser captures hold scale=1.000 and 0 px pan drift unless an explicit focal target justifies a camera move.",
        "how_it_is_checked": "evaluate_camera_and_slide_stability flags scale drift >= 0.003 or pan drift > 2.0 px on static scene kinds without has_focal_target."
      }
    },
    {
      "slug": "spec.scene-cognitive-gates",
      "category": "noun.benchmark_suite",
      "role": "spec",
      "title": "Specification: multi-frame shot dwell, transition ghosting, slide stability, reading speed, cognitive overlap, web provenance and caption-band gates",
      "category_reason": "Defines deterministic pass, warn and fail thresholds across multi-frame and cognitive checks.",
      "value": {
        "dwell_and_transitions": {
          "min_shot_s": 1.8,
          "warn_text_shot_s": 2.0,
          "max_text_crossfade_frames": 4,
          "fps": 30
        },
        "slide_stability": {
          "min_unmotivated_zoom": 0.003,
          "max_pan_drift_px": 2.0
        },
        "cognitive_load": {
          "words_per_s_max": 3.0,
          "base_orient_s": 0.5,
          "prose_escape_min_words": 6,
          "conflict_min_words": 12,
          "min_lexical_overlap": 0.35
        },
        "web_provenance": {
          "min_desktop_width_px": 1280,
          "require_browser_chrome": true,
          "require_entry_landing_and_click": true,
          "allow_form_submit": false
        },
        "caption_band": {
          "frame_width_px": 1920,
          "band_top_y": 924,
          "band_bottom_y": 1080,
          "expected_center_x": 960.0,
          "expected_center_y": 1002.0,
          "center_tolerance_px": 2.0,
          "min_horizontal_margin_px": 24.0,
          "min_rounded_radius_px": 12.0,
          "max_lines": 2,
          "max_chars_per_line": 42
        }
      }
    },
    {
      "slug": "rules.frosted-caption-pill",
      "category": "noun.reflex_procedure",
      "role": "rules",
      "title": "Deterministic widescreen lower-band frosted-glass caption pill layout and clause-wrapping rule",
      "category_reason": "Zero-call geometry and linguistic line-breaking procedure for burned-in widescreen captions.",
      "value": {
        "band_y_px": [
          924,
          1080
        ],
        "pill_center_px": [
          960,
          1002
        ],
        "rounded_radius_px": 18,
        "backdrop_blur_sigma_px": 10.0,
        "specular_border_px": 1.5,
        "max_lines": 2,
        "max_chars_per_line": 42,
        "bridge_cue_gap_s": 0.5,
        "disable_fullscreen_native_track": true,
        "model_calls": 0
      }
    },
    {
      "slug": "tool.scene-cognitive-qa",
      "category": "noun.code_node",
      "role": "tool_card",
      "title": "Tool card: standard-library multi-frame scene, transition and cognitive-load video QA analyzer",
      "category_reason": "Tested Python standard-library package pinned by path, file count and digest.",
      "value": {
        "name": "scene and cognitive video QA",
        "code": {
          "$code": "scene-and-cognitive-video-qa"
        },
        "runtime": "Python 3.10 or later, standard library only.",
        "commands": [
          "python -m scene_cognitive_qa --bundle OBSERVATIONS.json"
        ],
        "does": [
          "Evaluates multi-frame shot dwell and blocks > 4-frame text-over-text crossfades.",
          "Flags unmotivated Ken Burns zoom or pan drift on static slides, cards, terminals and browser captures.",
          "Checks stage reading speed, disallowed must_read=False escapes, and split-attention prose conflicts against concurrent speech.",
          "Verifies authentic >= 1280 px desktop website landing-to-click journeys and centered frosted-glass lower-band captions."
        ],
        "does_not": [
          "Call remote APIs, launch browsers, modify media files or replace human editorial review."
        ],
        "code_license": "MIT"
      },
      "relations": [
        [
          "verifies",
          "spec.scene-cognitive-gates"
        ]
      ]
    },
    {
      "slug": "template.scene-cognitive-qa-report",
      "category": "noun.scene_recipe",
      "role": "template",
      "title": "Template: digest-pinned multi-frame scene and cognitive video QA report",
      "value": {
        "describes": "a consolidated multi-frame scene, transition, camera-stability, cognitive-load, web-provenance and frosted-caption QA report",
        "schema": {
          "type": "object",
          "additionalProperties": false,
          "required": [
            "media_sha256",
            "min_shot_s",
            "flash_shots",
            "ghost_transitions",
            "drifting_static_scenes",
            "unreadable_items",
            "cognitive_conflicts",
            "unconvincing_journeys",
            "caption_center_offset_x_px",
            "caption_center_offset_y_px",
            "overall_verdict"
          ],
          "properties": {
            "media_sha256": {
              "type": "string",
              "pattern": "^[0-9a-f]{64}$"
            },
            "min_shot_s": {
              "type": "number",
              "minimum": 0
            },
            "flash_shots": {
              "type": "integer",
              "minimum": 0
            },
            "ghost_transitions": {
              "type": "integer",
              "minimum": 0
            },
            "drifting_static_scenes": {
              "type": "integer",
              "minimum": 0
            },
            "unreadable_items": {
              "type": "integer",
              "minimum": 0
            },
            "cognitive_conflicts": {
              "type": "integer",
              "minimum": 0
            },
            "unconvincing_journeys": {
              "type": "integer",
              "minimum": 0
            },
            "caption_center_offset_x_px": {
              "type": "number",
              "minimum": 0
            },
            "caption_center_offset_y_px": {
              "type": "number",
              "minimum": 0
            },
            "overall_verdict": {
              "type": "string",
              "enum": [
                "pass",
                "warn",
                "fail"
              ]
            }
          }
        },
        "example": {
          "media_sha256": "bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb",
          "min_shot_s": 0.8,
          "flash_shots": 1,
          "ghost_transitions": 1,
          "drifting_static_scenes": 1,
          "unreadable_items": 2,
          "cognitive_conflicts": 1,
          "unconvincing_journeys": 1,
          "caption_center_offset_x_px": 0.0,
          "caption_center_offset_y_px": 15.0,
          "overall_verdict": "fail"
        }
      }
    },
    {
      "slug": "example.scene-cognitive-bundle",
      "category": "noun.eval_run",
      "role": "example",
      "synthetic": true,
      "title": "Worked example input: synthetic multi-frame shot list, zoom track, competing prose, cropped web card and off-center caption band",
      "category_reason": "Synthetic fixture recomputed by test_scene_cognitive_qa.py.",
      "value": {
        "media_sha256": "bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb",
        "shots": [
          {
            "id": "sec1",
            "start_s": 0.0,
            "end_s": 0.8,
            "has_stage_text": true
          },
          {
            "id": "shot01",
            "start_s": 0.8,
            "end_s": 4.97,
            "has_stage_text": true
          },
          {
            "id": "shot02",
            "start_s": 4.97,
            "end_s": 10.67,
            "has_stage_text": true
          }
        ],
        "transitions": [
          {
            "from_shot": "shot01",
            "to_shot": "shot02",
            "kind": "crossfade",
            "frames": 8
          }
        ],
        "scene_tracks": [
          {
            "id": "shot02-static-hero",
            "scene_kind": "static_slide",
            "has_focal_target": false,
            "samples": [
              {
                "t_s": 4.97,
                "scale": 1.0,
                "tx_px": 0.0,
                "ty_px": 0.0
              },
              {
                "t_s": 10.67,
                "scale": 1.028,
                "tx_px": 0.0,
                "ty_px": 0.0
              }
            ]
          }
        ],
        "text_items": [
          {
            "id": "sec1-card",
            "text": "Part one introduces the community service queue and volunteer worker loop",
            "start_s": 0.0,
            "end_s": 0.8,
            "must_read": true
          },
          {
            "id": "competing-prose",
            "text": "Synthetic held-out cases run through a local adapter checkpoint on twenty-four validation benchmarks before any reviewer promotes a candidate",
            "start_s": 5.0,
            "end_s": 9.5,
            "must_read": true
          }
        ],
        "speech_cues": [
          {
            "id": "c1",
            "text": "Unused token capacity helps community organizations finish plain-language intake packets.",
            "start_s": 5.0,
            "end_s": 9.4
          }
        ],
        "journeys": [
          {
            "id": "ngo-intake-card",
            "viewport_width_px": 980,
            "has_browser_chrome": false,
            "shows_entry_landing": false,
            "shows_click_transition": false,
            "navigated_urls": [
              "https://example.org/intake"
            ],
            "form_submitted": false
          }
        ],
        "caption_band": {
          "burned_into_video": false,
          "uses_native_track_in_fullscreen": true,
          "has_frosted_glass_pill": false,
          "rounded_radius_px": 0.0,
          "pill_center_x": 960.0,
          "pill_center_y": 987.0,
          "pill_top_y": 918.0,
          "pill_bottom_y": 976.0,
          "pill_left_x": 420.0,
          "pill_right_x": 1500.0
        },
        "caption_cues": [
          {
            "id": "c1",
            "text": "Unused token capacity helps community organizations finish\npackets."
          }
        ],
        "shows": "Synthetic defective cut bundle combining fast flash cards, text-over-text crossfades, static-slide Ken Burns drift, competing stage prose, a narrow mid-page web card and off-center fullscreen native captions.",
        "source": "Synthetic. Written for this pack; every identifier, URL and timestamp is made up."
      }
    },
    {
      "slug": "example.qa-report",
      "category": "noun.eval_run",
      "role": "example",
      "synthetic": true,
      "title": "Worked example output: recomputed multi-frame scene and cognitive QA report",
      "category_reason": "Synthetic QA report verified by test_scene_cognitive_qa.py.",
      "value": {
        "conforms_to": {
          "$pin": "template.scene-cognitive-qa-report"
        },
        "instance": {
          "media_sha256": "bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb",
          "min_shot_s": 0.8,
          "flash_shots": 1,
          "ghost_transitions": 1,
          "drifting_static_scenes": 1,
          "unreadable_items": 2,
          "cognitive_conflicts": 1,
          "unconvincing_journeys": 1,
          "caption_center_offset_x_px": 0.0,
          "caption_center_offset_y_px": 15.0,
          "overall_verdict": "fail"
        },
        "shows": "All six classes of multi-frame and cognitive defects are flagged deterministically and roll up to overall_verdict fail.",
        "source": "Synthetic. Recomputed directly from example.scene-cognitive-bundle."
      },
      "relations": [
        [
          "derives_from",
          "example.scene-cognitive-bundle"
        ],
        [
          "verifies",
          "template.scene-cognitive-qa-report"
        ]
      ]
    }
  ],
  "verbs": [
    {
      "slug": "audit-shot-dwell-and-transitions",
      "kind": "verb.verify_gate",
      "title": "Audit multi-frame shot dwell and text-bearing transition overlaps",
      "claimant": "agent",
      "model_use": "none",
      "summary": "Check shot durations across scene cuts for flash cards shorter than 1.8 s and flag crossfades longer than 4 frames between text-bearing shots.",
      "outcome": "Shot cadence statistics, flash-shot findings and ghosting transition findings.",
      "ready_outcome": "dwell_and_transitions_audited",
      "pinned": [
        "spec.scene-cognitive-gates",
        "tool.scene-cognitive-qa",
        "guardrail.exact-video-digest"
      ],
      "slots": [
        {
          "name": "shot_and_transition_plan",
          "category": "noun.scene_recipe",
          "description": "Pin of the storyboard shot spans and cut/crossfade list."
        }
      ],
      "network": [
        "local_only",
        "Reads local storyboard JSON and frame spans only."
      ],
      "produces": [
        {
          "name": "dwell_metrics",
          "template": "template.scene-cognitive-qa-report"
        }
      ],
      "steps": [
        "Evaluate every shot window against min_shot_s (1.80 s) and warn_text_shot_s (2.00 s).",
        "Flag crossfade or dissolve transitions exceeding 4 frames when both adjacent shots display text."
      ],
      "acceptance": [
        {
          "id": "flash-and-ghost-checked",
          "check": "evaluate_shot_dwell_and_transitions reproduces min_shot_s, flash_shots and ghost_transitions.",
          "method": "deterministic"
        }
      ]
    },
    {
      "slug": "audit-camera-and-slide-stability",
      "kind": "verb.verify_gate",
      "title": "Audit static slides, cards and terminals for unmotivated Ken Burns zoom or pan drift",
      "claimant": "agent",
      "model_use": "none",
      "summary": "Inspect multi-frame scale and translation trajectories on static slides, typographic cards, section cards, terminals and browser captures, flagging drift when no focal target is declared.",
      "outcome": "Per-scene scale and translation drift counts and findings.",
      "ready_outcome": "slide_stability_audited",
      "pinned": [
        "spec.scene-cognitive-gates",
        "tool.scene-cognitive-qa",
        "guardrail.lock-static-slides-one-to-one"
      ],
      "slots": [
        {
          "name": "scene_camera_tracks",
          "category": "noun.eval_run",
          "description": "Pin of measured or authored multi-frame camera scale and pan samples."
        }
      ],
      "network": [
        "local_only",
        "Reads local camera trajectory observations without network calls."
      ],
      "produces": [
        {
          "name": "stability_metrics",
          "template": "template.scene-cognitive-qa-report"
        }
      ],
      "steps": [
        "Compute scale range and Euclidean translation drift across each scene's multi-frame samples.",
        "Flag static scene kinds without has_focal_target whose scale drifts >= 0.003 or pan drifts > 2.0 px."
      ],
      "acceptance": [
        {
          "id": "ken-burns-drift-checked",
          "check": "evaluate_camera_and_slide_stability reproduces drifting_static_scenes.",
          "method": "deterministic"
        }
      ]
    },
    {
      "slug": "audit-reading-and-cognitive-load",
      "kind": "verb.verify_gate",
      "title": "Audit on-screen reading speed and split-attention prose conflicts against narration",
      "claimant": "agent",
      "model_use": "none",
      "summary": "Verify every stage text span stays up for at least 0.50 s plus words/3.0, reject must_read=False escapes on prose >= 6 words, and flag >= 12-word stage sentences that diverge lexically from concurrent speech.",
      "outcome": "Unreadable item count, cognitive conflict count, peak words-per-second and timestamped findings.",
      "ready_outcome": "cognitive_load_audited",
      "pinned": [
        "spec.scene-cognitive-gates",
        "tool.scene-cognitive-qa"
      ],
      "slots": [
        {
          "name": "stage_text_and_speech",
          "category": "noun.scene_recipe",
          "description": "Pin of on-screen text items and timed speech/caption cues."
        }
      ],
      "network": [
        "local_only",
        "Evaluates local text spans and WebVTT/narration cues."
      ],
      "produces": [
        {
          "name": "cognitive_metrics",
          "template": "template.scene-cognitive-qa-report"
        }
      ],
      "steps": [
        "Check every stage text item for positive duration, disallowed must_read=False prose escapes, and dwell >= 0.50 + words/3.0 s.",
        "Compute content-word overlap between >= 12-word stage prose and overlapping narration cues, flagging overlap < 0.35."
      ],
      "acceptance": [
        {
          "id": "reading-and-split-attention-checked",
          "check": "evaluate_reading_speed_and_cognitive_load reproduces unreadable_items and cognitive_conflicts.",
          "method": "deterministic"
        }
      ]
    },
    {
      "slug": "audit-web-journey-and-captions",
      "kind": "verb.verify_gate",
      "title": "Audit desktop website click-through provenance and widescreen frosted-caption geometry",
      "claimant": "agent",
      "model_use": "none",
      "summary": "Verify web captures show >= 1280 px desktop browser chrome, landing-page entry and click navigation without live form submission, and check burned-in frosted-glass captions centered at (960, 1002) in the y=924..1080 lower band.",
      "outcome": "Web-journey provenance findings, caption centroid offsets and line-break hygiene findings.",
      "ready_outcome": "journey_and_captions_audited",
      "pinned": [
        "spec.scene-cognitive-gates",
        "rules.frosted-caption-pill",
        "tool.scene-cognitive-qa",
        "guardrail.no-live-form-submit"
      ],
      "slots": [
        {
          "name": "journeys_and_caption_band",
          "category": "noun.eval_run",
          "description": "Pin of recorded web journeys, lower-band caption geometry and wrapped cues."
        }
      ],
      "network": [
        "local_only",
        "Inspects local capture metadata and rendered caption geometry."
      ],
      "produces": [
        {
          "name": "journey_and_caption_metrics",
          "template": "template.scene-cognitive-qa-report"
        }
      ],
      "steps": [
        "Run evaluate_live_web_journey_provenance to verify >= 1280 px viewport, browser chrome, homepage-to-route click navigation and form_submitted == False.",
        "Run evaluate_frosted_caption_geometry to verify burned-in frosted-glass rounded pills centered at (960, 1002) +/- 2 px with zero native fullscreen ::cue leak and zero 1-word orphans."
      ],
      "acceptance": [
        {
          "id": "provenance-and-caption-geometry-checked",
          "check": "evaluate_live_web_journey_provenance and evaluate_frosted_caption_geometry reproduce unconvincing_journeys and centroid offsets.",
          "method": "deterministic"
        }
      ]
    },
    {
      "slug": "compile-scene-cognitive-report",
      "kind": "verb.verify_gate",
      "title": "Compile the consolidated multi-frame scene and cognitive video QA report",
      "claimant": "agent",
      "model_use": "none",
      "summary": "Combine shot dwell, transition ghosting, static-slide zoom stability, reading-speed and split-attention load, web-journey provenance and frosted-caption geometry into one digest-pinned QA report.",
      "outcome": "A conforming scene-cognitive QA report bound to media_sha256.",
      "ready_outcome": "scene_cognitive_report_compiled",
      "pinned": [
        "template.scene-cognitive-qa-report",
        "guardrail.exact-video-digest"
      ],
      "slots": [
        {
          "name": "dwell_metrics",
          "category": "noun.eval_run",
          "description": "Pin of shot dwell and transition metrics."
        },
        {
          "name": "stability_metrics",
          "category": "noun.eval_run",
          "description": "Pin of camera and static-slide stability metrics."
        },
        {
          "name": "cognitive_metrics",
          "category": "noun.eval_run",
          "description": "Pin of reading speed and cognitive-load metrics."
        },
        {
          "name": "journey_and_caption_metrics",
          "category": "noun.eval_run",
          "description": "Pin of web-journey provenance and frosted-caption geometry metrics."
        }
      ],
      "produces": [
        {
          "name": "qa_report",
          "template": "template.scene-cognitive-qa-report"
        }
      ],
      "steps": [
        "Verify every upstream check names the same 64-hex media_sha256.",
        "Roll up fail, warn and pass verdicts into a conforming template.scene-cognitive-qa-report."
      ],
      "acceptance": [
        {
          "id": "matches-report-schema",
          "check": "Output passes schema_errors against template.scene-cognitive-qa-report.",
          "method": "deterministic"
        }
      ],
      "follows": [
        "scene-and-cognitive-video-qa.audit-shot-dwell-and-transitions",
        "scene-and-cognitive-video-qa.audit-camera-and-slide-stability",
        "scene-and-cognitive-video-qa.audit-reading-and-cognitive-load",
        "scene-and-cognitive-video-qa.audit-web-journey-and-captions"
      ]
    }
  ]
}