{"schema_version":1,"assessment_id":"eoa_inverse_innovation_exp03_opportunity320_20260801","source_experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"deadweight_loss_reduction__operations_research","archetype_slug":"deadweight_loss_reduction","domain_slug":"operations_research","title":"Safeguarded relaxation of stale resource-allocation constraints","opportunity_summary":"Audit one binding hard constraint, separate its non-negotiable purpose from stale or overly broad proxy restrictions, and test bounded relaxation in historical shadow replay. The conditional opportunity is to recover priority-weighted service or capacity use without breaching safety, legal, fairness, access, stability, or downstream-feasibility limits; the packet provides no evidence about prevalence, realized gains, or novelty.","adopter_authorizer":"An operational planning or optimization-model owner could adopt the analysis workflow, while the authority owning each affected safety, legal, fairness, or allocation rule must authorize relaxation and any live pilot.","scores":{"meaningful_impact":{"score":3,"rationale":"Recovering service while demand is unmet and capacity is idle could materially reduce delay, rejection, and underuse, but the candidate supplies no prevalence, magnitude, or realized-impact evidence and acknowledges possible displaced or externalized harm."},"stakeholder_pull":{"score":2,"rationale":"The stated coexistence of backlog and idle or low-value capacity would be recognizable to planners and service recipients, but the sealed candidate contains no evidence that operators, rule owners, or affected claimants currently demand this intervention."},"incremental_advantage":{"score":4,"rationale":"If a stale proxy constraint is causal, changing forecasts, weights, matching, or solver performance while retaining the same feasible set cannot admit the blocked assignments; the proposed relaxation therefore has a clear conditional advantage over the baseline and nearest rival."},"distinctiveness_plausibility":{"score":2,"rationale":"The composition of constraint audit, bounded exceptions, incidence checks, authority routing, and rollback is coherent, but prior art is explicitly unsearched and the packet identifies established constraint-relaxation and soft-constraint methods as the unresolved comparison boundary."},"technical_implementability":{"score":4,"rationale":"A one-constraint-at-a-time historical shadow replay is technically bounded and requires no live assignments, although implementation depends on versioned models, constraint provenance, downstream-feasibility reconstruction, and measurable protected outcomes."},"adoption_authority_feasibility":{"score":3,"rationale":"The packet clearly assigns offline analysis to the operational owner and relaxation approval to the relevant rule authority, but legal, safety, fairness, and allocation ownership may be distributed and the candidate gives no evidence that those authorities will cooperate."},"evidence_readiness":{"score":4,"rationale":"The candidate specifies an unchanged-constraint comparison, historical replay, constraint-level diagnostics, protected-outcome checks, and explicit problem and intervention falsifiers; readiness is reduced because no dataset, thresholds, sample size, or validated outcome instrumentation is supplied."},"safety_net_benefit":{"score":4,"rationale":"The proposal targets unmet priority demand and unused capacity while retaining service and safety floors, using non-live evaluation and versioned rollback; benefit remains conditional on preventing displacement and harms omitted from the modeled objective."},"scalability":{"score":3,"rationale":"The audit-and-replay pattern could transfer across allocation systems, but every constraint requires context-specific provenance, authority review, protected-outcome measurement, operational validation, and penalty calibration."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"One operational setting: identify one preselected suspect constraint, assemble and clean a fixed historical sample, reconstruct baseline and relaxed shadow runs, impose downstream feasibility, and report service, incidence, protected-outcome, stability, and sensitivity comparisons.","confidence":"LOW","assumptions":["Historical planning instances, solver code, and constraint versions are accessible.","The test changes no live assignments or policies.","One constraint and a limited set of protected and operational outcomes are analyzed.","The band includes analyst, model-owner, domain, compliance, and evaluation labor but no major new data platform."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Prepare a reversible pilot in one operational workflow, including approved exception logic, solver and workflow integration, rule-owner review, monitoring, audit logging, operator procedures, thresholds, and rollback capability.","confidence":"LOW","assumptions":["Offline replay supports advancement and the relevant authority approves a bounded pilot.","Existing optimization and operational systems can be modified rather than replaced.","No new physical capacity or safety certification program is required.","Protected-outcome and downstream-operational data can be integrated with moderate engineering work."]},"operational_launch":{"band_2026_usd":"250K_TO_1M","scope":"Launch the approved bounded policy and model change across one organization or operational program, including training, staged rollout, evaluation, incident response, governance review, and stabilization.","confidence":"LOW","assumptions":["Launch remains limited to a defined allocation program rather than an enterprise-wide portfolio.","The exception process is executable by current operators.","No absolute prohibition is relaxed.","The band excludes costs of adding the underlying allocable resource capacity."]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Operate and govern the modified allocation process for one program, including monitoring, periodic constraint revalidation, data maintenance, model updates, audits, incident review, authority reporting, and operator support.","confidence":"LOW","assumptions":["Continuous monitoring is required for protected thresholds, displacement, stability, and downstream failures.","Constraint and policy changes require recurring review.","Existing infrastructure hosts the solver and primary data systems.","Scale, regulatory burden, and case volume are unspecified."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"The candidate describes a recognizable diagnostic state—unmet demand alongside idle or lower-value capacity with a few binding rules—but supplies no external evidence that stale proxy constraints cause this state in any actual setting."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"The operational owner is identified as able to authorize offline analysis, and the owner of the affected safety, legal, fairness, or allocation rule is identified as the required authorizer for relaxation and live testing."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The proposal claims that relaxing one validated proxy restriction will improve priority-weighted fulfilled demand relative to replay under the unchanged feasible set, while remaining within precommitted protected, downstream-feasibility, and stability bounds."},"bounded_next_evidence_step":{"status":"YES","reason":"The sealed candidate authorizes a fixed-sample, one-constraint-at-a-time historical shadow replay with no live assignments and supplies both a baseline comparison and explicit falsifiers."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The next step is non-live, leaves absolute constraints intact, requires rule-owner approval before any relaxation in operations, and specifies stopping conditions for unresolved provenance or unmeasurable protected outcomes."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"A one-program implementation scope and broad resource bands can be framed, but the candidate omits system scale, data condition, integration complexity, regulatory process, case volume, and monitoring infrastructure."}},"blocking_evidence":["No real setting is shown in which stale or overly broad hard constraints, rather than data errors, candidate-generation defects, or genuine scarcity, explain simultaneous unmet demand and idle or lower-value capacity.","Constraint provenance and authoritative classification of the selected rule as partly negotiable rather than physical, legal, safety-critical, rights-based, or deliberately distributive are absent.","No historical dataset, outcome definitions, downstream-feasibility model, protected-group measures, or approved deterioration thresholds are supplied.","No evidence establishes that recovered modeled assignments are operationally executable or that gains persist after displacement, congestion, rebound, gaming, and other downstream costs.","Prior art is unsearched, so the package's incremental distinctiveness relative to constraint relaxation, soft constraints, and established allocation-governance methods is unknown."],"next_evidence_step":"With an operational owner and the selected rule authority, preregister a shadow replay on a fixed historical sample comparing the unchanged feasible set with one-at-a-time relaxation of one preselected proxy constraint while retaining absolute prohibitions and service floors. Advance only if the relaxed arm produces a material improvement in priority-weighted fulfilled demand after full downstream feasibility, without exceeding approved protected-outcome, displacement, distributional, or stability bounds; falsify the diagnosis if data correction or candidate-generation repair removes the apparent loss, or relaxation produces no material gain.","research_questions":["In which operational setting does the stated coexistence of unmet demand and idle or lower-value capacity recur, and how often is it attributable to a small set of binding constraints?","What purpose, provenance, owner, and legal or safety status does each suspect constraint have, and which portion, if any, is a stale or coarse proxy rather than an absolute requirement?","Against unchanged constraints and data or candidate-generation repair, how much priority-weighted fulfilled demand does one-at-a-time relaxation recover after full downstream feasibility is imposed?","Who gains access, who is displaced, and how do protected-group service floors, distributional outcomes, safety, stability, and downstream congestion change?","Can operators reliably execute the bounded exception logic, and can monitoring detect unauthorized cases, gaming, rebound, or threshold breaches quickly enough for rollback?","Does the combined audit, incidence-control, authority-routing, and reversible-test package add a distinguishable contribution beyond established constraint-relaxation and soft-constraint approaches?","What integration, governance, compliance, and recurring-monitoring resources are required in a specific adopter setting?"] ,"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Closed-book assessment: no external validation of prevalence, stakeholder demand, prior art, realized impact, or costs was permitted.","All benefit claims are conditional on identifying genuinely acceptable assignments excluded by a stale or coarse proxy constraint.","Cost bands are low-confidence resource-equivalent ranges for a single operational program, not market estimates or vendor quotations.","The generic domain description does not identify system scale, jurisdiction, regulatory regime, data quality, or operational complexity.","A favorable modeled objective is insufficient unless protected outcomes, displacement, execution feasibility, stability, and downstream effects remain within authorized bounds."],"closed_book_prior_art_boundary":"Prior-art status is explicitly UNSEARCHED. This assessment makes no novelty or prevalence claim and cannot determine whether tiered relaxation, soft penalties, constraint audits, incidence safeguards, authority routing, or reversible shadow testing are established individually or in this composition."}