{"schema_version":1,"assessment_id":"eoa_inverse_innovation_exp03_opportunity320_20260801","source_experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"invariant_mode_decomposition_design__film_media_production","archetype_slug":"invariant_mode_decomposition_design","domain_slug":"film_media_production","title":"Coupled Revision-Mode Targeting for Late-Stage Film Rework Cascades","opportunity_summary":"Test whether recurring cross-department revision patterns can identify rising rework and delivery-readiness risks earlier than departmental queues or dependency-graph triage, enabling limited coordination of implicated handoffs without constraining creative decisions.","adopter_authorizer":"The accountable producer and post-production supervisor jointly authorize workflow tests; creative and department leads retain authority over creative decisions and operational changes affecting their teams.","scores":{"meaningful_impact":{"score":3,"rationale":"Avoiding repeated work across editorial, VFX, sound, color, captions, localization, and QC could protect delivery readiness, but the sealed candidate provides no evidence about cascade prevalence, avoidable effort, or outcome magnitude."},"stakeholder_pull":{"score":3,"rationale":"Producers and post-production supervisors have a plausible interest in reducing rework and delivery risk, but no adopter interviews, purchasing signals, workflow commitments, or documented demand are supplied."},"incremental_advantage":{"score":3,"rationale":"Recurring mode detection could expose coupled propagation missed by asset-level queues, yet the candidate explicitly recognizes that an ordinary dependency graph may predict cascades equally well or better."},"distinctiveness_plausibility":{"score":3,"rationale":"The proposal specifies a distinct combination of fitted revision-cycle modes, outcome sensitivity, validation gates, and targeted coordination, but prior art is unsearched and overlap with existing change-impact methods is unverified."},"technical_implementability":{"score":3,"rationale":"Retrospective fitting and silent alerts are technically bounded, but success depends on consistently scaled workflow states, adequate samples, acceptable conditioning, stable modes, spectral gaps, and limited regime drift, none of which is established."},"adoption_authority_feasibility":{"score":4,"rationale":"Joint authorization is assigned to accountable production leaders, creative authority is preserved, department approval is required for operational changes, and prohibited personnel and automated-decision uses are explicit."},"evidence_readiness":{"score":4,"rationale":"The candidate defines a 75/25 retrospective split, silent observation, a dependency-graph comparator, separate problem and intervention falsifiers, and concrete stop conditions; actual data completeness and partner access remain uncertain."},"safety_net_benefit":{"score":4,"rationale":"A validated silent-warning layer could identify delivery-threatening coupled returns before visible delay while leaving ordinary triage and human authority intact, with rollback when model, drift, burden, or misuse gates fail."},"scalability":{"score":2,"rationale":"The operator is explicitly local, and each production may differ in creative path, vendors, contracts, logging practices, and delivery stage; repeated fitting, validation, and drift control could limit transfer across productions."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"One consenting production: workflow-data extraction and normalization, retrospective operator fitting, held-out comparison with dependency-graph triage, up to two silent alert cycles, governance review, and evaluation.","confidence":"LOW","assumptions":["Existing logs and timestamps are accessible without reconstructing the entire production history.","The participating production provides producer, department, data, and evaluation coordination.","No live workflow changes or intervention trial are included.","Specialized analysis and data engineering are required, but new production equipment is not."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Build a production-ready workflow-state pipeline, model and drift monitoring, access controls, alert interface, audit records, operating procedures, training, and integration with existing post-production systems.","confidence":"LOW","assumptions":["Deployment begins within one production organization or tightly related slate.","Multiple departmental systems require integration and data-quality reconciliation.","Personnel-use prohibitions and creative-authority controls require technical and procedural enforcement.","The retrospective test has already justified continued development."]},"operational_launch":{"band_2026_usd":"250K_TO_1M","scope":"Launch across an initial slate with production-specific calibration, department onboarding, silent validation before use, support, comparative evaluation, and governance oversight.","confidence":"LOW","assumptions":["Each production requires local validation rather than immediate model transfer.","Launch remains advisory and does not automate assignments, schedules, or creative approvals.","A dependency-graph comparator and ordinary triage remain available.","The organization has sufficient revision-cycle volume to evaluate performance."]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Ongoing data integration, production-by-production fitting and validation, drift and residual monitoring, analyst and post-production support, governance audits, software operation, and outcome evaluation.","confidence":"LOW","assumptions":["Use spans several productions annually.","Regime changes require recurring recalibration and possible suspension.","Human review and misuse monitoring remain mandatory.","No exact vendor, staffing, production-volume, or data-licensing information is available."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"The candidate describes observable late-revision rework and delivery effects, but supplies no external or empirical evidence that recurring coupled cascades occur often enough or materially enough to justify adoption."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"The accountable producer and post-production supervisor are named as joint test authorizers, with creative and department-lead authority boundaries specified."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The proposal claims that modal alerts identify recurring coupled propagation and enable better targeted coordination than dependency-graph triage at comparable effort and false-alert cost; both predictive and intervention failure conditions are stated."},"bounded_next_evidence_step":{"status":"YES","reason":"A single consenting production, retrospective fitting, final-25% holdout, dependency-graph comparison, and at most two silent cycles form a bounded non-interventional test with explicit failure gates."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"Creative authority is preserved, personnel evaluation and automatic operational actions are excluded, department approval is required, and alert suspension and rollback conditions are explicit."},"implementation_cost_scope_and_range":{"status":"YES","reason":"A one-production evidence test and subsequent startup, launch, and recurring operating scopes can be bounded in broad resource-equivalent bands, although exact costs remain unavailable and confidence is low."}},"blocking_evidence":["Whether held-out revision cycles contain recurring coupled propagation beyond isolated task dependencies and observable change size.","Whether workflow records can produce sufficiently complete, consistently scaled department-work-package states without unacceptable collection burden.","Whether a well-conditioned operator, meaningful mode gap, acceptable residuals, and a stable use window survive creative pivots, vendor changes, and delivery-stage transitions.","Whether modal alerts outperform dependency-graph triage on rework or delivery-readiness prediction at comparable effort and false-alert cost.","Whether production stakeholders consider the alerts understandable, non-punitive, operationally useful, and worth their coordination burden.","Whether mode-targeted preflight reduces downstream returns or readiness loss in a later authorized comparison rather than merely predicting them."],"next_evidence_step":"On one consenting production, preregister data-quality, conditioning, residual, gap, drift, prediction-error, effort, and false-alert thresholds; fit the modal model on the earliest 75% of revision cycles and compare it on the held-out final 25% with dependency-graph triage and observable change-size baselines, then run both silently for no more than two cycles. Stop if the modal model does not materially improve preregistered cascade or delivery-readiness prediction, requires nearly the full state, or violates any safety or burden threshold.","research_questions":["Do revision cycles exhibit stable coupled propagation beyond known task dependencies and change size?","What state granularity and minimum cycle count yield adequate conditioning without requiring nearly the full workflow state?","How often do creative pivots, vendor changes, or delivery-stage transitions invalidate fitted modes?","Does the modal model improve held-out prediction over dependency-graph triage at comparable effort and false-alert cost?","Which alerts are interpretable enough for producers and department leads to coordinate handoffs without treating modes as worker or department scores?","In a separately authorized intervention study, does mode-targeted preflight reduce downstream returns or delivery-readiness loss without harming quality, creative objectives, or workload equity?","What integration and recurring validation burden is acceptable to a production organization?","Does prior-art research reveal equivalent recurrent-propagation or workflow-mode methods already used in film post-production or adjacent production settings?"],"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Problem prevalence, avoidable rework magnitude, stakeholder demand, and market size are unmeasured.","Prior art and real-world distinctiveness are unsearched and unverified.","Data availability, consistency, sample sufficiency, and access permissions are unknown.","The linear, locally stationary approximation may fail in negotiated and path-dependent creative workflows.","Unmeasured creative complexity, contractual dependencies, or vendor identity may confound observed modes.","Cost bands are resource-equivalent planning ranges rather than sourced estimates.","Predictive validity would not establish that mode-targeted coordination causes better outcomes.","Scaling across productions is constrained by local fitting, regime shifts, and heterogeneous workflow systems."],"closed_book_prior_art_boundary":"Prior art is unsearched and unverified. This closed-book assessment therefore makes no claim about novelty, existing implementations, prevalence, market position, or superiority to established film-production workflow methods."}