{"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__security_intelligence","archetype_slug":"invariant_mode_decomposition_design","domain_slug":"security_intelligence","title":"Modal escalation warning and triage for coupled indicators","opportunity_summary":"Retrospectively test whether reproducible growing combinations of weak, source-qualified security indicators provide earlier and better-calibrated escalation warning than separate thresholds, ordinary aggregate trends, and a regularized multivariate rival, while preserving analyst judgment and prohibiting autonomous operational action.","adopter_authorizer":"Intelligence-cell leadership and the responsible data-governance or legal authority jointly authorize testing; designated strategic-warning and threat-intelligence analysts are the primary adopters and retain warning judgment.","scores":{"meaningful_impact":{"score":4,"rationale":"Earlier recognition of coherent escalation could materially improve strategic warning and reduce attention spent on isolated high-volume indicators. The sealed candidate does not establish how often the failure occurs or the magnitude of realized benefit."},"stakeholder_pull":{"score":3,"rationale":"The candidate identifies analysts, intelligence-cell leadership, collection teams, and operational decision-makers with a plausible warning problem, but supplies no evidence that these stakeholders experience it frequently, prioritize a solution, or would adopt this method."},"incremental_advantage":{"score":3,"rationale":"Explicit transition dynamics, modal persistence, residual checks, and spectral-drift gates could add interpretable temporal structure beyond thresholds or a regularized multivariate score. No held-out result establishes better lead time, calibration, or review efficiency."},"distinctiveness_plausibility":{"score":3,"rationale":"The proposal specifies a testable composition distinguished from the named rival by its transition operator, modal interpretation, and drift gate. Prior art is unsearched, and collection artifacts, nonstationarity, and unstable modes make practical distinctiveness uncertain."},"technical_implementability":{"score":3,"rationale":"A bounded retrospective implementation using rolling operators and held-out periods is technically specified, but success depends on sufficiently complete source-qualified time series, stable estimation, spectral separation, collection-intensity controls, and auditable traceability."},"adoption_authority_feasibility":{"score":4,"rationale":"Joint intelligence-cell and governance or legal authorization is explicitly identified, analysts retain judgment, and the first step is access-controlled and retrospective. Actual authorization, partner participation, and local compliance requirements remain unverified."},"evidence_readiness":{"score":4,"rationale":"The candidate provides a bounded threat class, frozen thresholds, held-out periods, two comparators, collection controls, outcome criteria, residual and drift gates, subgroup checks, and explicit falsifiers. Data availability, outcome labeling, sample sufficiency, and evaluation budget are not established."},"safety_net_benefit":{"score":4,"rationale":"Human judgment, prohibited interpretations, exclusions of coercive uses, access controls, traceability, subgroup concentration checks, quarantine, halt criteria, and rollback to ordinary review materially limit test-stage harm. Anchoring and false-coherence risks remain."},"scalability":{"score":2,"rationale":"Each threat class and collection regime may require separate qualification, refitting, governance review, drift monitoring, and validation because the observations are nonstationary, access-controlled, and shaped by collection practices. Cross-context transfer is not demonstrated."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"One access-controlled retrospective comparison for one threat class, including data preparation, outcome definition, operator and rival modeling, frozen held-out evaluation, collection-intensity controls, subgroup error review, analyst traceability review, and governance oversight.","confidence":"LOW","assumptions":["Existing historical observations and outcomes can be accessed without new collection.","A small cross-functional analyst, data-science, engineering, and governance team can conduct the study.","No major data remediation, procurement, or security accreditation is required.","The band is a resource-equivalent estimate, not a claimed market price."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Prepare a controlled analyst-facing implementation for the declared threat class, including secured data pipelines, reproducible model runs, provenance and traceability, drift and residual monitoring, review workflows, training, documentation, and compliance approval.","confidence":"LOW","assumptions":["The retrospective test supports continued development.","The implementation integrates with existing collection and review systems.","No new collection infrastructure or broad organizational rollout is included.","Security engineering and governance requirements are substantial but locally bounded."]},"operational_launch":{"band_2026_usd":"1M_TO_5M","scope":"Launch governed operational decision support for one intelligence cell and declared threat class, including production integration, access controls, auditability, reliability testing, analyst staffing and training, incident procedures, independent evaluation, accreditation, and rollback readiness.","confidence":"LOW","assumptions":["Operational use remains advisory and does not automate targeting, attribution, watchlisting, or disruption.","Multiple reporting sources require production-grade integration and monitoring.","A formal security, legal, and governance review is required.","Broader deployment across threat classes or collection regimes is excluded."]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Maintain the bounded service through data-quality review, model and threshold monitoring, mode-drift and residual checks, analyst review, governance audits, retraining or refitting, incident response, software operations, and periodic comparative reevaluation.","confidence":"LOW","assumptions":["Deployment remains limited to one intelligence cell and threat class.","Existing secure compute and data entitlements remain available.","Dedicated analyst, engineering, model-risk, and governance effort is required.","Material collection-regime changes could require additional project-level spending."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"The candidate clearly states an observable late-warning failure and a problem falsifier, but provides no external evidence that persistent coupled weak indicators are a recurring or consequential failure in actual security-intelligence practice."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"Strategic-warning and threat-intelligence analysts are identifiable adopters, while intelligence-cell leadership and the responsible data-governance or legal authority are explicitly identified as joint authorizers."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The proposal claims that modal triage using the same information and review budget can improve pre-specified lead time and calibrated escalation detection over ordinary thresholds and a regularized multivariate rival on frozen held-out periods."},"bounded_next_evidence_step":{"status":"YES","reason":"The authorized first step is a retrospective, access-controlled, single-threat-class comparison with frozen thresholds, held-out periods, named comparators, collection controls, and explicit performance and safety falsifiers."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The test preserves analyst judgment, requires joint governance authorization, excludes autonomous or coercive actions and new collection, and defines halt, quarantine, and rollback conditions. These controls support retrospective testing without implying live deployment."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"The candidate bounds the technical and governance scope, but gives no staffing, data-remediation, integration, accreditation, infrastructure, or procurement facts sufficient to validate the broad resource bands."}},"blocking_evidence":["No sealed evidence shows that coupled-indicator warning failure is recurrent or important enough to create adopter pull.","No frozen held-out comparison establishes lead-time, calibration, or detection gains over both ordinary practice and the nearest multivariate rival.","Historical data completeness, outcome-label validity, sample sufficiency, missingness, reporting-policy changes, and collection-intensity confounding are unverified.","No evidence shows that stable modes or subspaces survive resampling with adequate spectral separation and acceptable structured residuals.","No assessment establishes whether false warnings concentrate materially by source, population, organization, or region.","Actual authorization, analyst usability, data access, integration effort, and implementation cost remain unverified.","Prior art is unsearched, so originality and practical differentiation cannot be claimed."],"next_evidence_step":"With joint intelligence-cell and governance authorization, preregister and run one retrospective, access-controlled study on a single threat class: fit rolling operators only on earlier periods, freeze all thresholds and review budgets, and compare next-period lead time, calibrated escalation detection, false-warning concentration, and analyst traceability against independent thresholds and aggregate trends plus a regularized multivariate classifier. Falsify progression if modal triage does not outperform both comparators, if gains disappear under collection-intensity controls, or if reproducibility, spectral-separation, residual, drift, or subgroup-safety gates fail.","research_questions":["Do joint lagged indicator combinations produce reproducible warning value beyond independent thresholds and ordinary aggregate trends under the same information and review budget?","Does modal triage improve pre-specified lead time and calibrated escalation detection over a regularized multivariate score or supervised classifier on frozen held-out periods?","Are retained modes stable under resampling, alternative time windows, missing-data treatments, and reasonable model specifications?","Do apparent modes persist after controls for collection intensity, source availability, reporting-policy changes, and known exogenous events?","Do residuals contain structured high-consequence signals that the modal representation misses?","Are false warnings or added scrutiny concentrated by source, population, organization, or region?","Can analysts reliably trace warnings to original indicators without anchoring on unstable mathematical labels?","What staffing, integration, accreditation, governance, and recurring monitoring resources are required for a bounded implementation?","What prior methods already combine dynamic factors, transition operators, regime-sensitive forecasting, or spectral monitoring for strategic warning?"],"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Closed-book assessment: no external prevalence, performance, prior-art, market, adoption, or cost evidence was available.","The proposal is a hypothesis and must not be described as validated warning capability.","World novelty and practical distinctiveness are unmeasured because prior art is unsearched.","Impact is conditional on the problem occurring with meaningful frequency and on earlier warning changing analyst or decision-maker outcomes.","The model may capture collection behavior, deception, reporting-policy changes, or temporary strategic choices rather than campaign dynamics.","Linear transition dynamics may be locally inadequate, ill-conditioned, nonstationary, near-degenerate, or non-normal.","Retrospective performance may not transfer to adaptive adversaries or changed collection regimes.","All cost bands are low-confidence resource-equivalent ranges based on bounded-scope assumptions, not observed prices.","Retrospective research does not authorize live warning use or any targeting, attribution, watchlisting, detention, disruption, or public allegation."],"closed_book_prior_art_boundary":"The sealed record supports a structurally explicit and testable distinction from the named baseline and nearest rival only. It contains no prior-art search and cannot support claims of novelty, rarity, prevalence, market differentiation, or absence of comparable strategic-warning, dynamic-factor, regime-sensitive forecasting, or spectral-monitoring methods."}