{"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 bounded intervention for sustained-attention lapses","opportunity_summary":"Test whether a locally fitted multivariate transition model can identify repeatable growing cognitive-state modes that predict independently labeled attention lapses and support better-timed, low-risk rest or pacing interventions than separate thresholds or a nonlinear predictor using the same observations.","adopter_authorizer":"An ethics-approved cognitive-science investigator or designated task-safety operator could authorize the bounded laboratory pilot; participants retain consent and withdrawal authority.","scores":{"meaningful_impact":{"score":4,"rationale":"Earlier detection and attenuation of lapses could reduce missed signals, delayed responses, and unnecessary interruptions in consequential supervision tasks, although the packet provides no evidence about problem prevalence or realized effect size."},"stakeholder_pull":{"score":3,"rationale":"Researchers, task-safety operators, participants, and people affected by missed events have plausible interests in better lapse detection, but no expressed demand, procurement interest, or adoption behavior is supplied."},"incremental_advantage":{"score":3,"rationale":"The proposal makes a testable claim of improvement over separate thresholds and a same-data nonlinear rival through repeatable modal structure and control selectivity, but no held-out predictive or intervention advantage has yet been demonstrated."},"distinctiveness_plausibility":{"score":2,"rationale":"The coupled invariant-mode framing and selective-control test are specifically articulated, but prior art is unsearched and the packet cannot distinguish the design from existing state-space, vigilance, dynamical-systems, or adaptive-automation approaches."},"technical_implementability":{"score":3,"rationale":"Repeated-trial measurements, regularized model fitting, held-out evaluation, brief rest or pacing controls, and explicit suspension rules are technically conceivable, but useful modes must still prove well-conditioned, stable, and estimable within practical task windows."},"adoption_authority_feasibility":{"score":4,"rationale":"The laboratory adopter, authorizer, participant authority, excluded uses, intervention limits, and rollback procedure are explicit; operational adoption beyond an ethics-approved pilot would require task-specific safety and governance approval."},"evidence_readiness":{"score":3,"rationale":"The candidate supplies observables, baselines, a nearest rival, independent lapse labels, falsifiers, and a preregisterable within-participant design, but it remains a hypothesis without pilot data or validated measurement parameters."},"safety_net_benefit":{"score":4,"rationale":"Ordinary safety procedures remain available as a fallback, triggering is limited to low-risk controls, and the design specifies stopping for ill-conditioning, drift, lost held-out advantage, structured residuals, distress, workload, or increased errors."},"scalability":{"score":2,"rationale":"Deployment may require participant and task calibration, sufficiently dense repeated measurements, monitoring of drift and conditioning, and potentially gaze or physiological instrumentation, limiting transfer across tasks and populations until invariance is shown."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"Design, preregistration, ethics review, participant recruitment, repeated-trial data collection, optional noninvasive sensing, baseline/rival/modal analysis, and a bounded randomized laboratory comparison.","confidence":"MODERATE","assumptions":["Uses an existing laboratory task and commercially available behavioral or gaze equipment.","Tests brief rest or pacing adjustments rather than operational automation.","Includes enough participants and sessions for held-out participant and session analyses but is not a multisite trial."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Task-specific integration after successful evidence, data and consent workflows, sensor and software setup, threshold calibration, operator interfaces, subgroup evaluation, training, and safety validation.","confidence":"LOW","assumptions":["Deployment is confined to one nonclinical, nonemployment task regime.","Existing task-control and ordinary safety procedures can be integrated rather than replaced.","No specialized medical device approval is required."]},"operational_launch":{"band_2026_usd":"1M_TO_5M","scope":"Controlled launch in a consequential supervision setting, including prospective validation, governance, privacy and security review, operator training, monitoring infrastructure, incident response, and independent evaluation.","confidence":"LOW","assumptions":["Launch covers a limited organization or site rather than sector-wide deployment.","Gaze or other noninvasive measurements are permitted with explicit consent.","Safety review requires comparison against ordinary procedures and the nonlinear rival before routine use."]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Ongoing data stewardship, consent and privacy administration, model and threshold monitoring, drift and residual checks, recalibration, equipment support, operator training, audit, and outcome evaluation for a limited deployment.","confidence":"LOW","assumptions":["The system remains limited to one or a few validated task regimes.","Human oversight and periodic refitting are retained.","Costs exclude broad geographic scaling and major replacement of existing operational systems."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"YES","reason":"The candidate independently specifies attention lapses, observable precursors, missed or delayed responses, unnecessary interruptions, affected actors, and the objective of earlier detection and attenuation."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"An ethics-approved investigator or designated task-safety operator is identified as pilot authorizer, with participants retaining consent and withdrawal authority."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The modal predictor must outperform separate thresholds and a regularized nonlinear same-observation rival while also supporting selective response to randomized controls; both prediction and intervention falsifiers are stated."},"bounded_next_evidence_step":{"status":"YES","reason":"The packet authorizes a preregistered within-participant laboratory comparison with offline validation and only brief rest or pacing adjustments, alongside explicit comparisons and stopping conditions."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The first step is bounded by consent, ethics approval, low-risk controls, excluded punitive and diagnostic uses, ordinary safety procedures, and specified halt and rollback conditions."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"The candidate identifies measurements, controls, monitoring, and governance needs, but equipment choices, sample requirements, operational setting, integration complexity, and deployment scale are unspecified, so implementation ranges remain assumption-dependent."}},"blocking_evidence":["No evidence yet shows that well-conditioned and repeatable transition modes exist within a practically useful attention-task window.","No held-out evidence establishes predictive advantage over separate observables or the regularized nonlinear rival.","No randomized evidence shows that safe controls selectively reduce target-mode amplitude or subsequent lapses.","Cross-session, cross-participant, subgroup, and task-regime stability is unestablished.","Prior art is unsearched, so novelty and practical differentiation are unverified."],"next_evidence_step":"Run a preregistered, within-participant laboratory study that first fits all models offline and compares prospective held-out lapse prediction by separate thresholds, the regularized nonlinear rival, and the modal predictor; proceed to randomized brief rest or pacing versus sham timing only if modes satisfy predefined conditioning, spectral-gap, residual, drift, and predictive-advantage criteria, and reject the conjecture if modes rotate across sessions, lose held-out advantage, or fail to respond selectively while lapse outcomes remain unimproved.","research_questions":["Do well-conditioned modes repeat across sessions and held-out participants rather than rotate with sampling or measurement noise?","Does the modal predictor improve prospective discrimination, calibration, and useful warning time over separate thresholds and the same-data nonlinear rival?","Can brief rest or pacing adjustments selectively reduce a target mode without increasing errors, workload, distress, or unnecessary interruption?","How sensitive are modes and intervention maps to window length, regularization, missing data, task strategy, and optional physiological variables?","Are predictive errors and false-trigger burdens acceptably distributed across participant groups?","What existing cognitive state-space, vigilance, adaptive-automation, and dynamical-systems work overlaps the claimed design?","What task-specific monitoring, privacy, governance, and integration resources would an operational adopter require?"],"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Closed-book assessment provides no evidence of prevalence, stakeholder demand, market size, novelty, or realized impact.","The proposal is contingent on locally stable, well-conditioned modes rather than merely predictive statistical mixtures.","Nonlinearity, history dependence, strategic adaptation, and measurement reactivity may invalidate the local invariant-mode interpretation.","Cost bands are resource-equivalent planning ranges based on assumed laboratory and limited-site scopes, not externally verified estimates.","Operational usefulness depends on warning time, false-alarm burden, selective controllability, subgroup performance, privacy acceptability, and compatibility with mandatory safety procedures."],"closed_book_prior_art_boundary":"Prior art is unsearched and unverified in this closed-book assessment; no claim is made that invariant-mode lapse monitoring, its predictive comparison, or its intervention design is novel, uncommon, or distinct from existing cognitive-state-space, vigilance, adaptive-automation, or dynamical-systems work."}