{"schema_version":1,"assessment_id":"eoa_inverse_innovation_exp03_opportunity320_20260801","source_experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"negative_space_design__neuroscience","archetype_slug":"negative_space_design","domain_slug":"neuroscience","title":"Protected Logged Null Intervals for Temporally Crowded Event-Related Paradigms","opportunity_summary":"The proposal replaces selected nonessential filler events with bounded, logged null intervals to improve attribution and stability at a matched target-event count. It is technically testable and reversibly governed, but the sealed packet provides no empirical evidence that temporal crowding materially affects a target paradigm or that spacing outperforms modeling, counterbalancing, or other schedule changes without altering the phenomenon.","adopter_authorizer":"A principal investigator or protocol-design team would adopt the schedule change; research ethics oversight must authorize participant-facing changes, while each participant retains unconditional stop and withdrawal authority.","scores":{"meaningful_impact":{"score":4,"rationale":"If the stated mechanism holds, cleaner event attribution and less participant burden could materially improve the validity and information yield of affected studies. The frequency and severity of the problem are unsupported, limiting confidence in aggregate impact."},"stakeholder_pull":{"score":2,"rationale":"The packet identifies plausible beneficiaries and decision makers but contains no documented demand, observed adoption interest, or evidence that investigators regard this problem as sufficiently costly to change established protocols."},"incremental_advantage":{"score":3,"rationale":"The matched-target-count manipulation offers a direct, testable alternative to a dense schedule, but its advantage over deconvolution, counterbalancing, acquisition changes, or generic simplification is unproven and may be offset by fewer controls, anticipation, or altered task dynamics."},"distinctiveness_plausibility":{"score":2,"rationale":"Protected and logged null intervals are coherently specified as a mechanism adaptation, but prior art is explicitly unsearched and the packet cannot establish that the approach differs materially from established event-scheduling practices."},"technical_implementability":{"score":4,"rationale":"Editing an event schedule, logging null intervals, counterbalancing two short conditions, and evaluating prespecified outcomes appear feasible with existing research systems. Replication details such as interval distributions, filler-selection rules, and modality-specific windows remain unspecified."},"adoption_authority_feasibility":{"score":4,"rationale":"The proposal identifies the principal investigator, ethics oversight, and participant authority and supplies exclusions, halt criteria, and rollback. Feasibility still depends on protocol approval and whether the scientific target permits interrupted dynamics."},"evidence_readiness":{"score":3,"rationale":"The candidate provides observable indicators, separate problem and intervention falsifiers, and a bounded counterbalanced pilot, but it remains hypothesis-level and supplies neither supporting data nor sufficiently detailed estimands and decision thresholds."},"safety_net_benefit":{"score":4,"rationale":"The manipulation is reversible, preserves consent and emergency cues, excludes clinical use, and specifies stopping and baseline restoration. Gaps may nevertheless cause confusion, expectation effects, or additional burden that must be monitored."},"scalability":{"score":3,"rationale":"Schedule and logging changes could be replicated without new core equipment, but benefits may depend strongly on paradigm, recording modality, response timing, control requirements, and ecological-validity constraints."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"UNDER_10K","scope":"A preregistered diagnostic reanalysis and design-matrix audit of one existing crowded-paradigm dataset, comparing ordinary event estimates with models or strata that expose predecessor, interval, overlap, and run-drift effects.","confidence":"LOW","assumptions":["An appropriate completed dataset, trigger logs, and analysis code are already accessible.","No new participant recruitment or recording is performed.","The analysis is limited to one paradigm and one recording modality.","Internal scientific and analyst labor is included."]},"initial_deployment_startup":{"band_2026_usd":"10K_TO_50K","scope":"Design and prepare one site-specific two-condition pilot, including interval and filler rules, task programming, logging and fault-discrimination checks, preregistration, ethics amendment, analysis setup, and staff coordination.","confidence":"LOW","assumptions":["Existing recording equipment and task-delivery systems can be reused.","The participant-facing change qualifies as an amendment rather than an entirely new research program.","No specialized hardware purchase or major software rebuild is required.","One paradigm and one site are in scope."]},"operational_launch":{"band_2026_usd":"50K_TO_250K","scope":"Conduct and evaluate one nonclinical, counterbalanced participant pilot using the ordinary and protected-null schedules at matched target count, including recruitment, recording time, staff, participant compensation, data processing, adverse-experience monitoring, and comparative analysis.","confidence":"LOW","assumptions":["The study uses existing institutional recording infrastructure.","The sample is sized for a bounded pilot rather than definitive cross-modality validation.","Recording may involve a resource-intensive modality, but no capital equipment is purchased.","Exposure remains within already defensible burden limits."]},"annual_recurring":{"band_2026_usd":"10K_TO_50K","scope":"Maintain schedule variants, logging and quality assurance, staff procedures, participant instructions, and periodic outcome monitoring for one research program using the intervention repeatedly.","confidence":"LOW","assumptions":["Adoption remains limited to one program and existing infrastructure.","Recurring cost is driven mainly by labor, quality control, and any added session time.","No annual multicenter validation or equipment replacement is included.","The intervention does not substantially reduce participant throughput."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"The packet specifies recognizable indicators such as overlapping windows, predecessor dependence, unstable estimates, and behavioral drift, but labels the crowding mechanism as a hypothesis and provides no external or empirical evidence that it materially affects a target paradigm."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"The principal investigator is identified as the protocol-change proposer, ethics oversight as the participant-facing authorizer, and participants as retaining stop and withdrawal authority."},"distinct_testable_incremental_claim":{"status":"YES","reason":"At matched target-event count and acquisition settings, the proposal claims that converting selected fillers into logged null intervals improves preregistered identifiability, response stability, behavioral drift, or participant experience relative to the ordinary schedule."},"bounded_next_evidence_step":{"status":"YES","reason":"A single existing-dataset diagnostic reanalysis can test for predecessor, interval, overlap, and run-drift signatures without participant exposure and can falsify the diagnosed problem before schedule deployment."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The proposal requires ethics approval, preserves participant withdrawal and critical cues, excludes clinical use, distinguishes intentional nulls from faults, and defines halt and rollback conditions."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"A one-site pilot is broadly bounded, but modality, sample size, interval distribution, session-duration effect, data availability, and approval pathway are absent, so implementation resources can only be assigned low-confidence broad bands."}},"blocking_evidence":["Evidence that the ordinary schedule in a specific candidate paradigm actually produces material predecessor dependence, overlap-related instability, behavioral drift, or participant burden.","A preregistered matched-target comparison showing that protected null intervals improve primary identifiability or stability measures beyond ordinary scheduling and analysis alone.","Evidence that anticipation, fixation-state changes, reduced control sampling, or altered cognitive dynamics do not offset the claimed gain.","A comparison against relevant alternatives, including stronger counterbalancing, deconvolution, acquisition changes, and a generic simplification control.","Prior-art review establishing whether protected logged null intervals represent a distinct adaptation or established scheduling practice.","Replicable interval-duration distributions, filler-selection rules, primary estimands, adverse-experience criteria, and decision thresholds for a specific modality and paradigm."],"next_evidence_step":"Using one completed dataset from a candidate crowded paradigm, preregister a bounded diagnostic reanalysis comparing ordinary event estimates with estimates stratified or modeled by preceding-event identity, interval, overlap, and run position. Proceed to participant-pilot design only if prespecified instability or drift exceeds a declared threshold; falsify the problem for that paradigm if estimates remain stable and behavior and burden show no meaningful interval- or predecessor-dependent degradation.","research_questions":["Does the ordinary schedule exhibit practically important predecessor, interval, overlap, or late-run effects under a prespecified analysis?","At matched target count and acquisition settings, do logged null intervals improve primary identifiability and stability measures relative to the ordinary schedule?","Are any apparent improvements explained by anticipation, fixation-state transitions, reduced control sampling, or a change in the cognitive phenomenon?","How does the intervention compare with deconvolution, counterbalancing, acquisition changes, and generic removal of events?","Which interval distributions, filler-selection rules, and response windows produce robust results without increasing participant burden or reducing ecological validity?","Do effects transfer across paradigms and recording modalities, or are they analysis- and modality-specific?","What relevant scheduling practices already exist, and what incremental claim, if any, remains distinct?","Would principal investigators and ethics reviewers accept the efficiency, interpretability, and participant-experience tradeoffs?"] ,"recommendation":"VALIDATE_PROBLEM_FIRST","uncertainty_constraints":["Problem prevalence, severity, and stakeholder demand are unmeasured.","Prior art and world-level distinctiveness are unmeasured.","All intervention benefits remain hypothetical.","The nominal null interval contains ongoing neural activity and may constitute a new experimental condition.","Modality, sample size, timing parameters, and decision thresholds are unspecified.","Cost bands are resource-equivalent planning ranges, not observed prices or point estimates.","Generalization across laboratories, paradigms, analyses, and recording modalities is unknown."],"closed_book_prior_art_boundary":"No conclusion is made about novelty, prevalence, market size, existing adoption, realized impact, or superiority over established neuroscience scheduling and analysis methods. Prior art is explicitly unsearched; distinctiveness and external support require separate research."}