{"closest_prior_art":[{"name":"Kitman Labs My iP sports analytics and reporting platform","overlap":"A first-party athlete-management product unifies workload, readiness, wellness, performance, and restricted medical information; supplies role-oriented views; breaks workload down by sessions and athletes; and surfaces duplicate records, missing data, integration coverage, and outliers.","remaining_difference":"The public product description does not establish bounded assertions as an append-only source of truth, separate event time from record time, preserve linked corrections, reconstruct what was knowable at a prior decision timestamp, or expose pinned projector versions and replay frontiers.","source_ids":["SRC1"]},{"name":"Data Provenance for Sport","overlap":"Proposes sport-domain provenance spanning source data, manual and automated activities, agents, derived metrics, reproducibility, auditing, and differentiated access to de-identified information.","remaining_difference":"It is a provenance notation and workflow analysis rather than an athlete-exposure event ledger; it does not disclose bitemporal ingestion, idempotent event admission, append-only correction semantics, versioned athlete-day projections, or frontier and rebuild-diff controls.","source_ids":["SRC2"]},{"name":"Microsoft Event Sourcing pattern","overlap":"Describes immutable append-only domain events as the system of record, replay-built read projections, compensating corrections, event ordering, duplicate-safe consumers, historical reconstruction, and testing of projections and idempotency.","remaining_difference":"It is generic architecture guidance, not a sport-science implementation with prescribed-session, completed-work, device-summary, RPE, wellness, and availability assertions, dual decision-time semantics, source-completeness displays, differential clinical access, and athlete consent or contestation controls.","source_ids":["SRC4"]}],"contrastive_claim_falsifier":"The contrast would be falsified by public documentation or a frozen-data demonstration showing that an existing athlete-management product already makes uniquely identified, provenance-bearing training and recovery assertions its immutable source of truth; retains event and record time plus correction lineage; deduplicates replay; and rebuilds prior decision-time, role-filtered views with declared projector versions, source coverage, and frontiers. It would also fail experimentally if the proposed pinned replay cannot reproduce the predeclared reference views or requires unrecorded mutable state.","contrastive_claim_remaining":"The remaining testable distinction is the sport-specific combination: bounded multi-actor training and recovery assertions are canonical, while athlete-day summaries are discardable versioned projections that preserve decision-time knowledge and visibly disclose replay frontier, missing-source coverage, conflicts, and late events. The retained product, provenance research, workload research, and generic event-sourcing guidance each cover substantial components, but none documents this complete combination in athlete monitoring.","experiment_id":"eoa_inverse_innovation_exp13_second_slot_policy60_20260806","gates":{"adequate_source_search":{"rationale":"Four search lanes covered direct terminology, event-sourcing and bitemporal component combinations, older training-load and provenance terms, athlete-management products, and architecture guidance. Four opened sources from four publishers include first-party, primary-research, and official-guidance material. No exact sports deployment of the full combination was located, but phrase misses were not treated as novelty evidence.","source_ids":["SRC1","SRC2","SRC3","SRC4"],"status":"PASS"},"bounded_next_test":{"rationale":"The proposed six-athlete, four-week, three-source retrospective replay is finite and read-only. Freezing event definitions, deduplication keys, ordering rules, projectors, and exact comparison criteria permits decisive mismatch, duplicate, lateness, coverage, and drift measurements. Workload-missingness research supports explicitly counting missing-source periods, while event-sourcing guidance supports replay and idempotency tests.","source_ids":["SRC2","SRC3","SRC4"],"status":"PASS"},"distinct_testable_claim":{"rationale":"Although unified athlete dashboards, sport provenance, missing-data handling, and event sourcing are established separately, the claimed difference requires their concrete conjunction and can be tested by exact replay, prior-time reconstruction, deduplication, correction-lineage, and frontier-display criteria.","source_ids":["SRC1","SRC2","SRC3","SRC4"],"status":"PASS"},"no_obvious_safety_or_authority_stop":{"rationale":"The authorized first step is consented, de-identified, copied, read-only, and barred from operational recommendations or participation decisions. Sport-provenance research recognizes de-identification and differentiated provenance access, while official event-sourcing guidance flags the real conflict between immutable histories and deletion rights. The proposal addresses that risk with restricted views, redaction and deletion propagation, halt conditions, and unchanged source systems; local consent and governance approval remain prerequisites.","source_ids":["SRC2","SRC4"],"status":"PASS"},"supported_problem":{"rationale":"The problem is visible at coarse resolution: the product source expressly addresses fragmented sport data, duplicate athlete or game records, missing integration data, and source coverage; sport-provenance research reports limited reproducibility and auditability without source and transformation provenance; and longitudinal workload research demonstrates that missing observations alter accumulated workload calculations. The retained sources do not directly quantify how often mutable commercial dashboards lose prior decision-time states, so support is partial rather than complete.","source_ids":["SRC1","SRC2","SRC3"],"status":"PASS"}},"prior_art_disposition":"ADJACENT_PRIOR_ART","problem_evidence":{"finding":"Public evidence supports fragmented multi-source athlete monitoring, provenance and reproducibility limitations, duplicate and coverage-quality concerns, and consequential missing workload observations. It does not directly demonstrate the proposal's full baseline claim across a sampled organization—especially silent overwriting, late-record reconstruction, and absence of historical decision-time views.","source_ids":["SRC1","SRC2","SRC3"],"status":"PARTLY_SUPPORTED"},"research_id":"eoa_inverse_innovation_exp13_light_screen_20260806","schema_version":1,"screen_id":"E13P160","screen_survival":true,"search_lanes":{"component_combination":{"no_result_note":"No retained source disclosed the complete combination of athlete monitoring, append-only event sourcing, bitemporal decision-time reconstruction, idempotent replay, versioned projections, and visible processing frontiers.","queries":["\"event sourcing\" athlete monitoring workload","\"bitemporal\" athlete data sports","sports science data provenance training load missing data athlete monitoring","Microsoft event sourcing pattern replay projections"],"source_ids":["SRC2","SRC3","SRC4"]},"direct_problem_and_intervention":{"no_result_note":"Direct searches found adjacent athlete dashboards, sport provenance, and generic event-sourcing architecture, but no exact public implementation of a Decision-Time Athlete Exposure Ledger.","queries":["athlete management system historical data audit trail workload readiness late data corrections","sports science athlete monitoring event sourcing bitemporal data provenance replay","\"decision-time\" athlete workload dashboard historical"],"source_ids":["SRC1","SRC2","SRC4"]},"products_practices_and_standards":{"no_result_note":null,"queries":["athlete data management platform source completeness workload dashboard Kitman Labs Catapult","athlete monitoring software workload wellness medical role-specific dashboard duplicate records","Microsoft event sourcing pattern append-only projections idempotency"],"source_ids":["SRC1","SRC4"]},"synonyms_and_historical_terms":{"no_result_note":null,"queries":["training load monitoring athlete management system longitudinal workload provenance","sport performance analysis workflow provenance reproducibility","missing data longitudinal monitoring athlete workload session RPE"],"source_ids":["SRC2","SRC3"]}},"sources":[{"claims_supported":["Unified sport platforms combine workload, readiness, wellness, performance, and medical information in role-oriented views.","The product surfaces duplicate records, missing data, integration coverage, outliers, and workload contributions by session and athlete.","The public description does not state that immutable events, bitemporal history, or replayable versioned projections are the authoritative substrate."],"publisher":"Kitman Labs","source_id":"SRC1","source_type":"FIRST_PARTY_PRODUCT","title":"My iP | Personalized Sports Reporting & Dashboards","url":"https://www.kitmanlabs.com/platform/sports-analytics-reporting/"},{"claims_supported":["Sport analysts need provenance to trace irregular data to sources and to reproduce or audit derived statistics.","Sport workflows combine human and automated activities and require domain-specific provenance concepts, agents, and transformations.","De-identification and differentiated access to provenance are recognized requirements."],"publisher":"arXiv","source_id":"SRC2","source_type":"PRIMARY_RESEARCH","title":"Data Provenance for Sport","url":"https://arxiv.org/abs/1812.05804"},{"claims_supported":["Missing observations influence accumulated athlete-workload calculations.","Workload observations may be absent because of loss, deletion, limited time, poor adherence, injury, or equipment malfunction.","The study evaluates imputation using internal RPE and external workload observations from 93 basketball players and emphasizes accounting for the amount, nature, context, and uncertainty of missing data."],"publisher":"Journal of Sports Science and Medicine","source_id":"SRC3","source_type":"PRIMARY_RESEARCH","title":"Evaluating Methods for Imputing Missing Data from Longitudinal Monitoring of Athlete Workload","url":"https://jssm.org/volume20/iss2/cap/jssm-20-188.pdf"},{"claims_supported":["Event sourcing uses immutable append-only domain events as the system of record and derives read-only projections by replay.","The guidance covers compensating corrections, event versioning and ordering, duplicate-safe idempotent handlers, projection testing, and historical reconstruction.","It identifies eventual-consistency, operational-complexity, and personal-data deletion conflicts as material limitations."],"publisher":"Microsoft","source_id":"SRC4","source_type":"OFFICIAL_GUIDANCE","title":"Event Sourcing Pattern - Azure Architecture Center","url":"https://learn.microsoft.com/en-us/azure/architecture/patterns/event-sourcing"}],"world_novelty_boundary":"This bounded public-web screen found adjacent prior art and establishes neither world novelty nor the absence of private deployments, patents, non-indexed publications, or undocumented product capabilities. It also does not establish patentability, market size, expert acceptance, realized value, or that combining the known components would be non-obvious."}