{"closest_prior_art":[{"name":"AthleteMonitoring integrated athlete-management platform","overlap":"Combines longitudinal wellness and workload measures with injury and illness records, dashboards, readiness reports, alerts, multidisciplinary communication, and coach-facing program adjustment.","remaining_difference":"The public product description does not establish a predefined event vocabulary with explicit onset, confirmation, and closure boundaries; a rule that suspends trajectory interpretation and routes review; separate trajectory/event displays; or blinded transition-resolution validation against categorical and continuous-only comparators.","source_ids":["SRC3"]},{"name":"IOC load-monitoring guidance combined with OSTRC health-problem surveillance","overlap":"IOC guidance calls for monitoring load, well-being, and illness, while OSTRC-H prospectively records acute injuries, overuse injuries, and illnesses with medical classification. Together they cover gradual load/recovery information and discrete health problems.","remaining_difference":"The sources do not specify a same-day hybrid representation that reconciles the two information types through explicit switching and closure rules or tests whether it reconstructs session decisions better than traffic-light and continuous-only representations.","source_ids":["SRC1","SRC2"]}],"contrastive_claim_falsifier":"Falsify the remaining claim if, on the same authorized records, the hybrid representation fails to outperform both the traffic-light baseline and continuous-only representation on blinded event-timing and session-decision reconstruction, or if two reviewers cannot apply its event-boundary and switching rules consistently.","contrastive_claim_remaining":"For records containing both gradual within-athlete changes and consequential interruptions, a separately displayed trajectory-and-event representation with explicit onset, closure, and suspend-to-human-review rules will preserve event timing and the documented basis of same-day session decisions better than either fixed readiness categories or a continuous-only score.","experiment_id":"eoa_inverse_innovation_exp13_second_slot_policy60_20260806","gates":{"adequate_source_search":{"rationale":"The bounded search covered direct terminology, traffic-light and older monitoring terminology, athlete-management products and official guidance, and combinations of load/well-being monitoring with injury or illness surveillance. Exactly four opened sources were retained from four publishers, including primary research, official guidance, and a first-party product source.","source_ids":["SRC1","SRC2","SRC3","SRC4"],"status":"PASS"},"bounded_next_test":{"rationale":"A four-week retrospective comparison using de-identified, already-authorized records, two blinded reviewers, three representations, and predefined stopping conditions is limited in duration and scope and can measure event capture, boundary agreement, missing-data handling, and decision reconstruction without changing training or medical care.","source_ids":["SRC2","SRC4"],"status":"PASS"},"distinct_testable_claim":{"rationale":"Existing work integrates or jointly monitors the relevant data types, but the proposal isolates a falsifiable contrast: whether explicit event boundaries and a suspend-to-review switching rule improve reconstruction relative to both categorical and continuous-only representations.","source_ids":["SRC1","SRC2","SRC3"],"status":"PASS"},"no_obvious_safety_or_authority_stop":{"rationale":"NCAA guidance identifies privacy, informed-consent, mental-health, and data-security risks, but the proposed shadow-only use, existing-consent requirement, de-identification, prohibition on operational decisions, retained coach and clinician authority, athlete refusal rights, and halt-and-quarantine rules directly constrain those risks. No obvious categorical stop is visible if those conditions hold.","source_ids":["SRC4"],"status":"PASS"},"supported_problem":{"rationale":"Research shows that load, well-being, illness, acute injury, and overuse problems all warrant monitoring, and a commercial platform already integrates these streams for readiness decisions. This makes the underlying coordination problem visible, although the specific prevalence and consequences of unreconciled traffic-light categories versus continuous trends were not directly demonstrated.","source_ids":["SRC1","SRC2","SRC3"],"status":"PASS"}},"prior_art_disposition":"ADJACENT_PRIOR_ART","problem_evidence":{"finding":"PARTLY SUPPORTED: IOC consensus guidance treats load history, well-being, and illness as jointly relevant, while the prospective OSTRC-H study recorded 617 health problems among 142 athletes over 40 weeks, spanning illness, acute injury, and overuse injury. AthleteMonitoring demonstrates an operational market practice that places wellness, workload, health records, alerts, and readiness decisions together. The retained sources do not directly show that traffic-light boundaries erase decision-relevant variation or that continuous summaries routinely smooth away same-day events.","source_ids":["SRC1","SRC2","SRC3"],"status":"PARTLY_SUPPORTED"},"research_id":"eoa_inverse_innovation_exp13_light_screen_20260806","schema_version":1,"screen_id":"E13P080","screen_survival":true,"search_lanes":{"component_combination":{"no_result_note":null,"queries":["athlete readiness monitoring continuous workload discrete events pain illness warm-up traffic light","IOC consensus load sport risk injury monitoring athlete wellbeing illness training modification","OSTRC questionnaire health problems athlete monitoring time loss injury illness weekly primary study"],"source_ids":["SRC1","SRC2","SRC3"]},"direct_problem_and_intervention":{"no_result_note":null,"queries":["hybrid discrete continuous model athlete readiness training decision event switching","athlete readiness monitoring continuous workload discrete events pain illness warm-up traffic light"],"source_ids":["SRC1","SRC2","SRC3"]},"products_practices_and_standards":{"no_result_note":null,"queries":["athlete management system wellness workload injury event readiness first party","athlete management system alerts injury illness workload trends human review product","performance technologies guideline athlete data consent governance medical information coach"],"source_ids":["SRC3","SRC4"]},"synonyms_and_historical_terms":{"no_result_note":null,"queries":["sports athlete monitoring wellness traffic light red amber green workload injury event alerts","OSTRC questionnaire health problems athlete monitoring time loss injury illness weekly primary study","PubMed Clarsen OSTRC prospective monitoring illness injury elite athletes"],"source_ids":["SRC1","SRC2","SRC3"]}},"sources":[{"claims_supported":["Inappropriate load management is a risk factor for acute illness and overtraining.","IOC guidance recommends monitoring training, competition and psychological load together with athlete well-being and illness.","Load-response relationships vary with load history and individual factors, limiting simple fixed-threshold interpretations."],"publisher":"U.S. National Library of Medicine (PubMed record for British Journal of Sports Medicine)","source_id":"SRC1","source_type":"SECONDARY_RESEARCH","title":"How much is too much? (Part 2) International Olympic Committee consensus statement on load in sport and risk of illness","url":"https://pubmed.ncbi.nlm.nih.gov/27535991/"},{"claims_supported":["A prospective primary study monitored 142 elite athletes for 40 weeks using a weekly health-problem questionnaire and medical-personnel classification.","The study recorded 617 health problems: 329 illnesses and 288 injuries.","Its method captured acute injuries, overuse injuries, and illnesses, showing that heterogeneous health events coexist with longer-running problems."],"publisher":"U.S. National Library of Medicine (PubMed record for British Journal of Sports Medicine)","source_id":"SRC2","source_type":"PRIMARY_RESEARCH","title":"The Oslo Sports Trauma Research Center questionnaire on health problems: a new approach to prospective monitoring of illness and injury in elite athletes","url":"https://pubmed.ncbi.nlm.nih.gov/23429267/"},{"claims_supported":["The product combines wellness, internal and external workload, injuries, illnesses, medical records, testing, and training information.","It provides real-time dashboards, daily readiness reports, automated alerts, and multidisciplinary communication.","Coaches can adjust programs using readiness, workload, wellness, and health information, making it the closest located operational practice."],"publisher":"FITSTATS Technologies, Inc.","source_id":"SRC3","source_type":"FIRST_PARTY_PRODUCT","title":"Athlete Management System, Athlete Monitoring Software","url":"https://www.athletemonitoring.com/"},{"claims_supported":["Performance technologies include software platforms and mobile applications used for athlete health, safety, and performance.","Responsible implementation must address privacy, mental health, informed consent, and data security.","Performance technology is characterized as one support tool whose effectiveness depends on responsible selection, implementation, and management."],"publisher":"National Collegiate Athletic Association","source_id":"SRC4","source_type":"OFFICIAL_GUIDANCE","title":"Performance Technologies Responsible Use in Collegiate Athletics","url":"https://www.ncaa.org/what-we-do/health-safety-and-performance/performance-technologies-guidelines/"}],"world_novelty_boundary":"This bounded public-web screen found adjacent monitoring, surveillance, and athlete-management practices but no retained source documenting the proposal's complete governed switching-and-validation combination. That result cannot establish world novelty, patentability, market size, expert acceptance, or realized value."}