{"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__criminology_forensic","archetype_slug":"invariant_mode_decomposition_design","domain_slug":"criminology_forensic","title":"Shadow detection of coupled forensic-toxicology QC drift modes","opportunity_summary":"Evaluate whether stable combinations of individually sub-threshold quality-control changes predict later failures, reruns, maintenance, or amended findings better than existing univariate indicators and ordinary covariates. The candidate is consequential and testable in shadow mode, but the existence, stability, incremental predictive value, controllability, demand, and distinctiveness of the proposed modes remain unestablished.","adopter_authorizer":"A forensic toxicology laboratory, with a shadow pilot authorized by its laboratory director and quality manager; validated procedures and applicable legal review would govern later operational use.","scores":{"meaningful_impact":{"score":4,"rationale":"Earlier recognition of unreliable positive or negative findings could materially protect defendants, victims, investigations, courts, and laboratory operations. The severity is substantial, although the frequency and preventable share of such events are unsupported."},"stakeholder_pull":{"score":2,"rationale":"The candidate identifies affected parties and laboratory decision-makers, but supplies no expressed laboratory demand, adoption inquiry, budget commitment, or evidence that coupled sub-threshold drift is a priority over existing QC concerns."},"incremental_advantage":{"score":3,"rationale":"Run-transition modes could reveal persistent coupled degradation hidden by separate limits and add stability interpretation beyond high-variance PCA scores. Whether they improve prediction or action over univariate rules, ordinary covariates, and the named PCA rival is wholly untested."},"distinctiveness_plausibility":{"score":3,"rationale":"The explicit combination of transition estimation, modal stability gates, residual checks, and intervention mapping is coherently differentiated from the named PCA rival, but prior-art status is unsearched and world novelty is explicitly unmeasured."},"technical_implementability":{"score":3,"rationale":"The proposal uses routinely generated sequential QC and maintenance records and permits retrospective computation without changing case decisions. However, a 30-run fit and 10-run shadow evaluation may be inadequate for a conditioned transition estimate, stable eigenvectors, spectral separation, and rare outcomes."},"adoption_authority_feasibility":{"score":4,"rationale":"The laboratory director and quality manager are explicitly authorized to approve a shadow pilot, while ordinary QC remains controlling. Later validated operational use may require broader procedural and legal review that is not resolved in the packet."},"evidence_readiness":{"score":3,"rationale":"The candidate names a bounded dataset, held-out period, outcomes, comparators, failure conditions, and rollback rules. Readiness is limited by unknown state dimensionality, event counts, data quality, leakage, confounding, and statistical power."},"safety_net_benefit":{"score":4,"rationale":"The design is expressly additive and shadow-only: it cannot alter case results, acceptance criteria, or required existing-QC actions, and it includes discard conditions. Its safety benefit remains hypothetical, and false alerts could still create delays or unnecessary work if later operationalized."},"scalability":{"score":2,"rationale":"Modes may rotate with instrument, method, analyte, lot, maintenance, analyst response, or workflow regime, and the proposal explicitly prohibits pooling outside the declared scope. Each new regime may therefore require separate estimation and validation."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"10K_TO_50K","scope":"One instrument-method regime: retrieve and clean 30 historical runs, preregister thresholds, fit the model, and score the next 10 runs in shadow mode against existing QC failures, reruns, and maintenance records.","confidence":"LOW","assumptions":["Existing QC and maintenance records are accessible and linkable without major digitization.","No new laboratory equipment or case-result intervention is required.","The band includes analyst, quality, statistical, data-governance, and evaluation labor.","Legal and compliance review is limited to retrospective and shadow use."]},"initial_deployment_startup":{"band_2026_usd":"50K_TO_250K","scope":"Prepare a governed, reproducible shadow-monitoring workflow for one validated instrument-method regime, including data integration, software controls, documentation, staff training, and expanded validation.","confidence":"LOW","assumptions":["Existing laboratory information and instrument systems can export the required measures.","The model remains advisory and cannot change case dispositions or validated QC criteria.","Independent validation and quality-system documentation are required.","No major instrument replacement or custom enterprise platform is required."]},"operational_launch":{"band_2026_usd":"250K_TO_1M","scope":"Validate and introduce alert-supported technical review within one laboratory across a limited set of separately qualified instrument-method regimes, with auditability, monitoring, training, and legal and quality oversight.","confidence":"LOW","assumptions":["Operational use follows successful shadow and bounded comparative evidence.","Each instrument-method regime requires separate qualification rather than pooled modeling.","Human review remains mandatory and existing QC rules remain authoritative.","The laboratory must fund integration, validation, change control, cybersecurity, and evaluation."]},"annual_recurring":{"band_2026_usd":"50K_TO_250K","scope":"Maintain a limited laboratory deployment through data-quality checks, mode-stability monitoring, recalibration, alert review, audits, staff refreshers, software support, and periodic outcome evaluation.","confidence":"LOW","assumptions":["Deployment remains limited to one laboratory and a modest number of regimes.","Regime changes trigger review or refitting but not wholesale platform replacement.","Recurring cost is driven primarily by specialist and quality-assurance labor.","False-alert workload stays within a preregistered acceptable limit."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"YES","reason":"The sealed candidate identifies a concrete QC pattern, observable records, downstream failure outcomes, affected parties, and an existing univariate baseline. These make the problem recognizable and testable, although prevalence is not established."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"A forensic toxicology laboratory is the adopter, and its laboratory director and quality manager are explicitly identified as authorities for a shadow pilot."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The candidate claims that coupled run-transition modes will predict specified adverse outcomes beyond individual indicators and ordinary covariates, with PCA-based multivariate monitoring named as a rival."},"bounded_next_evidence_step":{"status":"YES","reason":"The packet specifies a 30-run retrospective fit followed by 10 shadow-scored runs, preregistered thresholds, existing-QC comparators, named outcomes, and explicit statistical and operational discard conditions."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The first step is shadow-only, ordinary QC remains solely operational, case-result and evidentiary uses are prohibited, and halt conditions cover instability, missed QC failures, excessive residuals, and false alerts."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"The candidate bounds the first pilot by instrument-method regime and run counts but provides no staffing, data-extraction, software-integration, validation, compliance, or scaling requirements from which a defensible implementation range can be confirmed."}},"blocking_evidence":["No evidence establishes that reproducible coupled sub-threshold modes exist or precede the named outcomes.","The proposed 30-run fit and 10-run shadow evaluation lack a supplied dimensionality, event-rate, precision, or power justification.","Incremental prediction beyond individual QC indicators, ordinary covariates, and PCA-based monitoring is untested.","Conditioning, spectral separation, eigenvector stability, residual adequacy, and robustness to regime changes are unknown.","Historical outcome labels may be sparse, confounded by maintenance responses, or affected by leakage.","No evidence shows that permitted maintenance responses can damp a hazardous mode or reduce later failures.","Prior art, stakeholder demand, implementation burden, and operational willingness are unmeasured."],"next_evidence_step":"Conduct the authorized one-regime study: preregister state variables, stability and false-alert thresholds, fit only on 30 consecutive historical runs, then score the next 10 runs in shadow mode. Compare added prediction against existing individual QC indicators and ordinary covariates, and discard the hypothesis if modes are unstable or ill-conditioned, residual gates fail, existing QC failures are missed, false alerts exceed the limit, or coupled patterns do not reproducibly precede the specified outcomes.","research_questions":["Are 30 fitting runs sufficient for the proposed state dimension and transition-estimation method?","Do stable coupled modes predict failures, reruns, maintenance, or amended findings beyond individual indicators and ordinary covariates?","How does performance compare with the named PCA-based multivariate rival under identical held-out data and alert budgets?","Are apparent modes robust to analyte mix, reagent lot, maintenance, analyst response, and abrupt regime changes?","Can leakage and confounding from prior maintenance or review actions be excluded?","Which authorized responses, if any, reduce modal scores and subsequent failures in a later bounded comparative trial?","What false-alert and missed-event limits would laboratory leadership regard as operationally acceptable?","Does external prior art already cover transition-based multivariate QC monitoring or materially similar safeguards?"] ,"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Closed-book assessment: no external evidence was used.","Problem prevalence, outcome frequency, stakeholder demand, market size, and realized impact are unsupported.","World novelty and prior art are unmeasured because prior-art status is UNSEARCHED.","All cost bands are resource-equivalent scenarios rather than observed prices or point estimates.","The proposal is restricted to a declared instrument-method regime and does not support cross-regime pooling.","Predictive warning must not be interpreted as causal control or case evidence.","The specified 40-run study may yield only feasibility evidence if adverse outcomes are rare or the state dimension is large."],"closed_book_prior_art_boundary":"The sealed packet distinguishes the proposal conceptually from PCA-based high-variance component monitoring, but it provides no searched literature, product, patent, standards, or deployment evidence. Distinctiveness is therefore only internally plausible; novelty, prevalence, and competitive position cannot be inferred."}