{"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__cognitive_science","archetype_slug":"invariant_mode_decomposition_design","domain_slug":"cognitive_science","title":"Invariant-mode detection and attenuation of sustained-attention lapse precursors","opportunity_summary":"Test whether repeatable, growing multivariate state modes predict independently scored attention lapses better than separate thresholds and a regularized nonlinear predictor using the same observations, then determine whether brief rest or pacing controls safely reduce both mode amplitude and subsequent lapses. The packet supports a coherent, falsifiable laboratory research opportunity, but not problem prevalence, stakeholder demand, novelty, operational effectiveness, or deployment economics.","adopter_authorizer":"An ethics-approved investigator or designated task-safety operator could authorize a bounded laboratory study; participants retain consent and withdrawal authority. A specific operational adopter is not identified.","scores":{"meaningful_impact":{"score":4,"rationale":"If the stated precursor exists and can be attenuated, earlier detection could reduce delayed responses, missed signals, and unnecessary interruptions in sustained-attention or supervision tasks. The consequence is meaningful, but its prevalence and realized effect magnitude are unsupported."},"stakeholder_pull":{"score":2,"rationale":"Researchers and task-safety operators are plausible interested parties, but the packet supplies no observed demand, adoption inquiry, historical incident burden, workflow pain, or willingness to fund and operate the approach."},"incremental_advantage":{"score":3,"rationale":"The proposal makes a useful incremental claim against separate thresholds and a same-observation nonlinear rival: repeatable modal structure should improve held-out prediction and enable selectively mapped controls. Whether either advantage exists is wholly empirical."},"distinctiveness_plausibility":{"score":2,"rationale":"The modal framing and selective-control test are specific, but prior-art status is explicitly unsearched and the packet identifies possible overlap with cognitive state-space, vigilance, adaptive-automation, and dynamical-systems work."},"technical_implementability":{"score":3,"rationale":"Repeated behavioral windows, optional noninvasive measurements, regularized transition fitting, held-out prediction, and brief rest or pacing controls are laboratory-feasible in principle. Implementability depends on discovering well-conditioned, stable modes within useful windows and managing drift and residual failure."},"adoption_authority_feasibility":{"score":4,"rationale":"Consent, withdrawal, ethics approval, investigator or task-safety authorization, excluded uses, halt criteria, and rollback to ordinary procedures are explicitly assigned. Feasibility is lower outside research because no particular operating organization or employment authority structure is specified."},"evidence_readiness":{"score":4,"rationale":"The candidate provides measurable state variables, independently scored outcomes, explicit baselines and rival, held-out evaluation, preregistered thresholds, negative tests, and stopping rules. Data availability, sample design, endpoint reliability, and minimum meaningful effect remain unspecified."},"safety_net_benefit":{"score":4,"rationale":"The approach is framed as bounded monitoring with suspension and reversion to ordinary safety procedures, and it forbids withholding mandatory breaks or automatic control outside the validated regime. It could add an early-warning layer, although false reassurance, false alarms, privacy loss, and group disparities remain material risks."},"scalability":{"score":2,"rationale":"Repeated calibration, session-to-session mode rotation, participant heterogeneity, task-specific controls, optional sensing, privacy governance, and continuous drift checks may impede transfer across people and task regimes. No evidence of cross-task portability or low-touch operation is supplied."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"One preregistered laboratory study with within-participant repeated trials, independently labeled lapses, behavioral and gaze measurements, optional limited noninvasive workload proxies, offline fitting, held-out participant and session comparisons, and ethics-compliant analysis.","confidence":"LOW","assumptions":["One research site and one stable task regime","Existing laboratory space and ordinary computing are available","No specialized clinical-grade equipment is required","The sample is adequate for initial falsification but not broad subgroup or operational validation","Costs include protocol design, recruitment, data collection, analysis, ethics, software, and reporting"]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Prepare a validated prototype for one bounded operational task, including workflow integration, sensing and data pipelines, privacy and security review, operator interfaces, calibration, failure handling, and prospective evaluation planning.","confidence":"LOW","assumptions":["Laboratory evidence first shows repeatable predictive advantage","Deployment remains advisory and preserves ordinary safety procedures","Only one organization and task regime are included","No clinical or employment diagnosis is performed","Substantial partner coordination and human-factors work are required"]},"operational_launch":{"band_2026_usd":"1M_TO_5M","scope":"Controlled launch within one organization across multiple operators or teams, with training, prospective comparative evaluation, subgroup checks, monitoring, incident response, governance, and rollback capability.","confidence":"LOW","assumptions":["A task-safety organization accepts the evidence and authorizes a limited launch","Existing task-control systems can be integrated without wholesale replacement","Launch includes enough participants and duration to assess drift and false alarms","Mandatory safety procedures remain independent of the model","The band excludes expansion across unrelated task regimes or organizations"]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Annual operation for one bounded organizational use case, including data stewardship, model and mode-drift monitoring, periodic recalibration, operator support, audits, equipment upkeep, and outcome evaluation.","confidence":"LOW","assumptions":["The system remains advisory and limited to the validated regime","Sensor replacement and software hosting are moderate rather than specialized","Dedicated technical, research, privacy, and safety oversight is required","Material task changes trigger revalidation rather than routine maintenance"]}},"research_burden":"HIGH","earliest_credible_horizon":"12_TO_36_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"The packet defines a measurable attention-lapse problem and plausible consequences, but provides no external evidence of prevalence, severity, failure frequency, or inadequacy of existing monitoring in a particular setting."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"An ethics-approved investigator or designated task-safety operator is explicitly authorized to approve the bounded pilot and thresholds, while participants control consent and withdrawal; the eventual operational adopter remains unspecified."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The modal predictor must outperform separate thresholds and a regularized nonlinear predictor using the same observations on held-out data, and mapped controls must outperform rival or sham timing on modal and lapse outcomes."},"bounded_next_evidence_step":{"status":"YES","reason":"A preregistered within-participant laboratory comparison can be conducted offline first, with explicit conditioning, repeatability, predictive-advantage, residual, and drift falsifiers before any randomized low-risk control."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The packet bounds the first study by consent and ethics review, restricts interventions to brief rest or pacing adjustments after offline validation, excludes punitive and covert uses, and supplies halt and rollback rules."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"Broad assumed resource bands can be constructed, but the packet does not identify a specific operating environment, sample size, sensor package, integration surface, launch scale, compliance regime, or required staffing."}},"blocking_evidence":["Evidence that the coupled-precursor problem is frequent or consequential enough in a specified task setting to justify adoption inquiry","Repeatability and conditioning of fitted modes across sessions and held-out participants","Prospective predictive advantage over both separate observable thresholds and the same-observation nonlinear rival","Evidence that any safe mapped control selectively reduces target-mode amplitude and improves lapse outcomes relative to sham or rival timing","Calibration, false-alarm burden, privacy acceptability, and accuracy across relevant participant groups","Prior-art evidence establishing whether the claimed design is materially differentiated","Operational workflow, integration, staffing, and recurring-cost evidence from a named adopter setting"],"next_evidence_step":"Run a preregistered, non-deployment laboratory study in one stable sustained-attention task. Fit all models on training participants and compare separate thresholds, the regularized nonlinear rival, and the modal predictor on held-out participants and sessions using prospective lapse discrimination, calibration, false alarms, mode conditioning, mode alignment, drift, and residual structure. Stop before intervention testing if the modal method lacks a prespecified meaningful advantage, if modes rotate beyond tolerance, or if conditioning, gap, drift, or residual limits fail.","research_questions":["Do task-safety operators recognize coupled but threshold-invisible lapse precursors as a consequential problem in a specific workflow?","Are invariant directions well-conditioned and repeatable across windows, sessions, and held-out participants?","Does the modal predictor improve prospective lapse discrimination and calibration over separate thresholds and the same-observation nonlinear rival?","What minimum lead time and false-alarm rate would make warnings useful without creating excessive interruption burden?","Can brief rest or pacing adjustments selectively reduce a target mode and subsequent lapses relative to sham or rival-triggered timing?","How sensitive are results to window length, regularization, state-variable selection, missing measurements, and structured residuals?","Does performance differ across relevant participant groups, and can those differences be detected with an adequately powered design?","What privacy, consent, workflow, and governance conditions would a named operational adopter require?","Does scoped prior-art research reveal materially similar cognitive-state-space, vigilance, adaptive-automation, or dynamical-systems designs?"],"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Closed-book assessment; no external sources were consulted.","Problem prevalence, stakeholder demand, market size, realized impact, and willingness to adopt are unmeasured.","Prior-art status is unsearched, so novelty and distinctiveness cannot be established.","All cost bands are low-confidence resource-equivalent ranges based on stated scopes rather than vendor quotes or a named deployment.","Predictive validity, modal repeatability, selective controllability, subgroup performance, and cross-task generalization remain hypotheses.","The earliest credible horizon assumes access to an ethics-capable cognitive-science laboratory and a task-safety partner."],"closed_book_prior_art_boundary":"The sealed packet supports structural coherence, domain mapping, safety boundaries, and discriminating tests only. It does not establish novelty, prevalence, existing empirical precedent, competitive differentiation, market demand, or adoption history relative to cognitive state-space modeling, vigilance monitoring, adaptive automation, dynamical-systems methods, or other approaches."}