{"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__environmental_climate","archetype_slug":"invariant_mode_decomposition_design","domain_slug":"environmental_climate","title":"Shadow-tested coupled-mode warning for ecosystem regime shifts","opportunity_summary":"Evaluate whether a locally fitted multivariate transition mode can provide earlier, auditable warning of coordinated ecosystem deterioration than separate indicator thresholds or a direct nonlinear forecast. The proposal is technically coherent and safely testable in shadow mode, but demand, precursor reproducibility, comparative benefit, regional transferability, and prior-art distinctiveness are unestablished.","adopter_authorizer":"A regional ecosystem or climate-monitoring agency can authorize the proposed shadow test; legally responsible land, environmental, emergency, and Indigenous governance bodies retain authority over any consequential response.","scores":{"meaningful_impact":{"score":4,"rationale":"Earlier warning could protect ecological function and carbon-storage capacity and improve preparation for fire, water, livelihood, or health consequences. Impact remains conditional on the coupled mode being reproducible, sufficiently early, and decision-relevant."},"stakeholder_pull":{"score":2,"rationale":"The candidate identifies monitoring agencies, land and fire authorities, Indigenous nations, communities, and landholders with plausible interests, but supplies no evidence that these parties experience the stated warning failure frequently or are seeking this approach."},"incremental_advantage":{"score":3,"rationale":"The mode could reveal coordinated weakening hidden from coordinate-wise thresholds and provide a structured stability interpretation, but no evidence shows better lead time, calibration, discrimination, or reliability than either the baseline or direct nonlinear forecasting rival."},"distinctiveness_plausibility":{"score":3,"rationale":"The required combination of local transition estimation, modal stability tracking, residual and spectral-gap gates, and mode-drift retirement is distinguishable from the stated baseline and nearest rival. Prior-art status is explicitly unsearched, so broader distinctiveness cannot be assessed."},"technical_implementability":{"score":3,"rationale":"The proposal defines observable inputs, a local operator, measurable modes, frozen thresholds, residual checks, and halt rules. Implementability is limited by potentially short or shifting records, seasonality, sensor changes, non-normal transients, ill-conditioning, mode rotation, and omitted nonlinear drivers."},"adoption_authority_feasibility":{"score":4,"rationale":"A regional monitoring agency is expressly identified as able to authorize a shadow pilot, while consequential actions remain with the appropriate legal and Indigenous governance bodies. Eventual operational adoption would still require multi-authority procedures and affected-party participation."},"evidence_readiness":{"score":3,"rationale":"A preregistered retrospective-plus-prospective comparison using existing observations is clearly bounded and includes falsifiers. Readiness remains uncertain because the packet provides no record-length, data-quality, outcome-label, spectral-separation, or preliminary reproducibility evidence."},"safety_net_benefit":{"score":4,"rationale":"The shadow design prohibits automatic management decisions and deliberate perturbation, preserves ordinary monitoring, bounds extrapolation, and specifies auditable suspension conditions. Residual risk remains that even advisory mode labels could be mistaken for causal tipping-point predictions or redirect attention."},"scalability":{"score":2,"rationale":"Each region, season, disturbance range, and forecast horizon requires local state definition, fitting, validation, and drift monitoring. The explicit ban on extrapolation and the open, forced, nonstationary nature of ecosystems substantially constrain replication without repeated regional evidence."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"250K_TO_1M","scope":"One preregistered retrospective-plus-prospective shadow study for one region and seasonal cycle, including data preparation, local operator and nonlinear-rival modeling, threshold freezing, outcome evaluation, governance coordination, audit documentation, and residual and false-alarm analysis.","confidence":"LOW","assumptions":["Existing observations are accessible without major new sensor deployment.","A multidisciplinary modeling and evaluation team works for most of one seasonal cycle.","Data harmonization, community or Indigenous engagement, and agency review are material but regionally bounded.","No consequential management action is conducted."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Prepare a validated prototype for agency use through monitored data pipelines, alert review interfaces, model documentation, access controls, drift and halt checks, staff training, and escalation-procedure design for one region.","confidence":"LOW","assumptions":["The shadow test meets preregistered comparative and reliability criteria.","Existing agency monitoring infrastructure can be integrated rather than replaced.","Deployment remains advisory and human-reviewed.","Security, procurement, and governance requirements are moderate rather than exceptional."]},"operational_launch":{"band_2026_usd":"1M_TO_5M","scope":"Launch an audited regional warning capability across relevant monitoring teams and governance interfaces, including production integration, independent validation, incident procedures, stakeholder coordination, training, and an initial operational evaluation cycle.","confidence":"LOW","assumptions":["Launch covers one region rather than a national network.","Multiple agencies or governance bodies must coordinate escalation and communication.","No new large-scale observing network or field intervention is required.","Alerts remain advisory and do not directly automate burns, closures, allocation, relocation, or land-use restrictions."]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Operate one regional system with data-quality monitoring, periodic refitting, mode-identity and residual checks, human alert review, audit retention, stakeholder reporting, software maintenance, and comparative performance evaluation.","confidence":"LOW","assumptions":["Existing observation streams continue at roughly current scope.","At least a small multidisciplinary team provides ongoing review.","Major sensor replacement, new field campaigns, and consequential response costs are excluded.","Model retirement and reapproval are required when preregistered stability gates fail."]}},"research_burden":"HIGH","earliest_credible_horizon":"12_TO_36_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"YES","reason":"The candidate specifies a recognizable failure mode: separate temperature, moisture, vegetation, carbon-flux, and disturbance indicators can remain inconclusive while a coupled deterioration pattern weakens in damping. Whether this failure is prevalent remains externally unverified."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"A regional ecosystem or climate-monitoring agency is identified as the shadow-test authorizer, with consequential decisions reserved for legally responsible land, environmental, emergency, and Indigenous governance bodies."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The proposal can be tested for improved lead time, calibration, and decision-relevant discrimination over both separate-threshold monitoring and a direct nonlinear forecast, subject to frozen residual and false-alarm budgets."},"bounded_next_evidence_step":{"status":"YES","reason":"The sealed candidate defines one region, one seasonal cycle, existing observations, frozen thresholds, retrospective and prospective components, two explicit comparators, no automatic decisions, and clear failure criteria."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The first step is observational shadow testing, excludes ecosystem perturbation and automated management, retains existing monitoring, names responsible authorities, and provides reversible halt conditions. This does not authorize subsequent management action."},"implementation_cost_scope_and_range":{"status":"YES","reason":"The one-region shadow study and advisory deployment are sufficiently bounded to assign broad resource-equivalent bands, although data condition, staffing, integration, and governance requirements make the ranges low-confidence."}},"blocking_evidence":["No evidence establishes that a reproducible coupled weakly damped or growing mode precedes adverse ecosystem outcomes.","No comparative evidence shows improved lead time, calibration, or discrimination over separate thresholds and direct nonlinear forecasting.","The adequacy, continuity, spatial resolution, and stationarity of the required multivariate observations are unknown.","No evidence establishes acceptable conditioning, spectral separation, mode-identity stability, residual behavior, or robustness to seasonality and sensor changes.","Agency demand, affected-party acceptance, escalation usefulness, and feasible governance integration are unsupported.","Prior art and broader distinctiveness are unsearched."],"next_evidence_step":"Conduct the specified preregistered one-region shadow test over one seasonal cycle: fit only on earlier windows, freeze state definitions, thresholds, residual budgets, and false-alarm limits, then compare modal alerts against separate-indicator thresholds and a direct nonlinear outcome forecast. Stop advancement if the coupled precursor is not reproducible, fails conditioning or drift gates, or does not improve lead time, calibration, or decision-relevant discrimination over both comparators.","research_questions":["Does a reproducible coupled mode precede independently defined adverse ecosystem or carbon outcomes across held-out periods within the selected region?","How much warning lead time and decision-relevant discrimination does the modal method add over both stated comparators at matched false-alarm burden?","Are estimated modes sufficiently conditioned, spectrally separated, and stable in identity under alternative windows, spatial aggregations, seasonal controls, and sensor-change adjustments?","Do structured residuals, non-normal transients, or nonlinear drivers explain the apparent instability better than the proposed mode interpretation?","Can agencies and affected governance bodies define an auditable escalation use for an advisory alert without treating it as causal proof?","What data, integration, review, and governance resources would be required for one-region operation and for independent regional replication?","Does external prior-art research reveal materially similar coupled-mode warning systems or validation protocols?"],"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Closed-book assessment cannot establish problem prevalence, stakeholder demand, market size, prior art, or realized impact.","The candidate is a hypothesis with no supplied empirical performance results.","Cost bands are resource-equivalent planning ranges, not quotes, and depend strongly on data readiness and governance complexity.","The local linear mode may be an artifact of nonstationarity, aggregation, forcing, seasonality, sensor changes, or omitted nonlinear dynamics.","Results from one region and seasonal cycle would not justify extrapolation beyond the documented operating envelope.","A predictive mode would not by itself establish a tipping point, causal mechanism, or management-effect estimate."],"closed_book_prior_art_boundary":"Prior-art status is UNSEARCHED. This assessment recognizes only the proposal's stated distinction from its coordinate-threshold baseline and direct nonlinear forecasting rival; it makes no claim about world novelty, prevalence of similar methods, commercial availability, or existing deployments."}