{"schema_version":1,"assessment_id":"eoa_inverse_innovation_exp03_opportunity320_20260801","source_experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"computability_boundary_mapping__futurism_foresight","archetype_slug":"computability_boundary_mapping","domain_slug":"futurism_foresight","title":"Enforceable Boundaries and Labeled Fallbacks for Executable Foresight Assurance","opportunity_summary":"Evaluate whether executable foresight analyzers overstate universal robustness by collapsing proof, bounded coverage, timeout, out-of-scope input, and unknown into Boolean conclusions, then test an enforceable finite-state fragment with guarantee-aware routing on archived models. The opportunity is coherent and safely testable, but the existence and frequency of the proposed failure remain unsupported hypotheses.","adopter_authorizer":"Foresight analysts, analyzer operators, and software teams are prospective adopters; the accountable strategy-governance body authorizes public guarantees, with technical reviewers limited to proof certification.","scores":{"meaningful_impact":{"score":4,"rationale":"If the stated output-state collapse occurs, it could cause acceptance of unproved strategies, rejection of viable strategies, and wasted analyzer-development effort. The consequence is important, but its prevalence and realized impact are not evidenced."},"stakeholder_pull":{"score":2,"rationale":"The proposal identifies strategy owners, analysts, operators, reviewers, and affected communities, but supplies no observed requests, commitments, complaints, or adoption interest from them."},"incremental_advantage":{"score":4,"rationale":"Relative to finite-suite validation and performance engineering, mechanically enforced fragments and explicit EXACT, bounded, abstract, and UNKNOWN labels directly address class-wide guarantee interpretation. The advantage depends on the alleged baseline problem actually being present."},"distinctiveness_plausibility":{"score":3,"rationale":"The composition of enforceable fragments, guarantee-aware routing, and preserved fallback labels is specific and testable, but prior art is explicitly unsearched, so distinctiveness is unresolved."},"technical_implementability":{"score":3,"rationale":"A finite-state fragment, exhaustive archived-model comparison, and three-state interface appear technically bounded. Implementability is tempered by proof obligations, integration, possible state explosion, abstraction errors, and unknown useful-model coverage."},"adoption_authority_feasibility":{"score":4,"rationale":"The candidate names an accountable strategy-governance body as guarantee authority, confines technical reviewers to certification, and provides explicit halt and rollback rules. Actual access, willingness, and internal authority remain unverified."},"evidence_readiness":{"score":3,"rationale":"The proposal supplies archived-model procedures, separate problem and intervention falsifiers, a baseline comparison, and observable output distinctions. It does not establish that suitable archives, decision records, exhaustive-checking oracles, or participating users are available."},"safety_net_benefit":{"score":4,"rationale":"Explicit UNKNOWN and scope labels, archived-only testing, prohibition on automatic policy changes, affected-party review, and rollback to human review could reduce false assurance. Residual risks include UNKNOWN being treated as NO and formal correctness being mistaken for empirical or normative validity."},"scalability":{"score":2,"rationale":"Each scenario language and strategic property may require bespoke semantics, fragment enforcement, proof review, and semantic-fidelity review. Coverage loss and computational complexity could prevent broad reuse even when a fragment is decidable."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"Audit one participating foresight program's archived analyzers, models, documentation, and decision records; specify one finite-state fragment and out-of-fragment set; implement a research-grade checker and compare exhaustive results and three-state labeling with the current analyzer.","confidence":"LOW","assumptions":["Archived models and relevant decision records can be accessed under existing governance arrangements.","The comparison is non-live and limited to one program and one scenario language.","The work requires formal-methods, foresight-domain, interface, evaluation, and coordination labor.","No major new computing infrastructure or regulated-data remediation is required."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Harden the fragment checker and routing interface for one organization, integrate versioned scope-and-guarantee records, establish proof and semantic-fidelity review, and validate that downstream systems preserve labels.","confidence":"LOW","assumptions":["Deployment covers one analyzer family rather than a portfolio of unrelated languages.","Existing identity, logging, archival, and human-review systems can be integrated.","Specialist verification and governance review are required.","The system remains advisory and does not automatically alter strategy or policy."]},"operational_launch":{"band_2026_usd":"250K_TO_1M","scope":"Complete production assurance, historical back-testing, user training, affected-party review, operational monitoring, incident and rollback procedures, and governance approval for labeled advisory use.","confidence":"LOW","assumptions":["Launch is confined to one organization and a bounded set of admitted model types.","No unrestricted-language guarantee or live policy automation is attempted.","Material remediation is required if labels are dropped by reporting or decision systems.","Coverage and alarm rates are acceptable after bounded evaluation."]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Maintain semantics, fragment admission rules, proofs, abstractions, integrations, monitoring, audits, training, and recurring governance and affected-party review for one organizational deployment.","confidence":"LOW","assumptions":["Scenario syntax, target properties, and downstream systems change over time.","Specialist technical and domain review remains necessary.","The scope does not expand to many independently designed analyzer languages.","Compute remains secondary to labor, assurance, and coordination costs."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"YES","reason":"The sealed candidate specifies an observable and independently recognizable failure state: Boolean outputs that do not distinguish proof, bounded coverage, timeout, out-of-scope input, or unknown. Whether this occurs frequently is still unverified."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"Foresight analysts, analyzer operators, and software teams are identifiable adopters, while the accountable strategy-governance body is explicitly assigned authority over public guarantees."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The proposal makes a separable claim that enforced fragment admission plus explicit UNKNOWN-aware routing will reduce false universal interpretations and resource waste compared with the current Boolean-or-timeout baseline, subject to coverage loss."},"bounded_next_evidence_step":{"status":"YES","reason":"The authorized first step is limited to archived models, one finite-state fragment, one out-of-fragment set, exhaustive checking, and a three-state fallback comparison; it has explicit problem and intervention falsifiers."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The study excludes live policy automation, assigns guarantee authority to accountable governance, prohibits unsupported undecidability claims, and defines concrete halt and rollback conditions. Semantic and exclusion risks require review but do not stop the archived test."},"implementation_cost_scope_and_range":{"status":"YES","reason":"The candidate defines enough functional, integration, review, evaluation, and governance scope to assign broad resource-equivalent bands, although organizational context and model complexity make confidence low."}},"blocking_evidence":["No archived-system audit establishes that Boolean overinterpretation, ambiguous timeout handling, or unsupported class-wide assurance occurs in practice.","It is unknown whether the deployed model class is already finite, mechanically bounded, and served by a total procedure, which would weaken the proposed problem mechanism.","No evidence shows that an enforceable fragment retains enough decision-relevant models or that sound abstractions have usable alarm rates.","No user-comparison evidence shows that preserved guarantee labels improve interpretation rather than allowing UNKNOWN to be treated as rejection.","Prior art is unsearched, so any claim of distinctiveness relative to existing formal-methods governance or scenario-assurance practices is unsupported.","Access to archived models, decision records, users, and an exhaustive-checking reference has not been established."],"next_evidence_step":"Within one consenting foresight program, audit a fixed archive of non-live models, analyzer logs, documentation, and downstream decision records; define one mechanically enforced finite-state fragment and one out-of-fragment set; compare current analyzer outputs against exhaustive checking and compare the existing Boolean/timeout presentation against proof-or-bounded-or-UNKNOWN routing in a blinded retrospective interpretation task. Stop or redirect if all inputs are already effectively finite and correctly labeled, any sound verdict conflicts with exhaustive results, labels are lost downstream, the new interface does not reduce false universal interpretations or resource waste, or useful scenario coverage materially deteriorates.","research_questions":["Do archived systems actually collapse timeout, failed search, bounded coverage, or out-of-scope input into Boolean strategic conclusions?","Is the claimed input class genuinely open-ended, or already finite and mechanically enumerable under deployed constraints?","What syntax, semantics, strategic property, quantifiers, and computational capabilities are actually claimed by each analyzer?","Can a fragment admission checker mechanically reject every out-of-fragment model without ambiguous coercion?","How much decision-relevant scenario coverage is lost under the enforceable fragment?","Do exact or sound-abstract verdicts agree with exhaustive results on admitted archived instances?","Do explicit guarantee and UNKNOWN labels improve user interpretation compared with the baseline interface?","Are UNKNOWN outputs subsequently collapsed into rejection by reports, workflows, or governance practice?","Can practitioners and affected-party representatives validate the encoded strategic property and consequential exclusions?","Which elements, if any, remain distinctive after a bounded prior-art review of language restriction, assurance labeling, and unknown-aware routing?"],"recommendation":"VALIDATE_PROBLEM_FIRST","uncertainty_constraints":["The problem statement is explicitly a hypothesis; prevalence, frequency, and realized impact are unmeasured.","World novelty and market size are outside the sealed evidence.","The unrestricted scenario language's decidability is unresolved and must not be inferred from timeout or failed search.","A proof about an encoded model cannot establish empirical forecast accuracy, social completeness, or normative legitimacy.","Broad cost bands are resource-equivalent planning judgments, not observed prices or point estimates.","Coverage, complexity, abstraction quality, archive availability, stakeholder pull, and governance willingness are unknown."],"closed_book_prior_art_boundary":"Prior art is explicitly UNSearched in the sealed candidate. This assessment makes no claim about novelty, prevalence, competing products, established formal-methods practices, market size, or realized impact; distinctiveness remains conditional on later external research."}