{"closest_prior_art":[{"name":"Kitman Labs Performance Monitoring Dashboard","overlap":"Combines team response, recent load, wellness, recovery and testing data; compares individuals with baselines and thresholds; exposes longitudinal patterns; flags athletes for closer review or adapted training; and explicitly supports rather than automates practitioner decisions.","remaining_difference":"The public description does not explicitly retain a predeclared stable squad actual-to-planned ratio alongside quantiles, missingness and declared strata, nor require a repeated two-comparable-session excursion before review.","source_ids":["SRC2"]},{"name":"AthleteMonitoring combined workload-management graphs","overlap":"Provides team and individual longitudinal views, planned and actual activity loads, wellness-related measures, rolling four-week calculations and workload-management thresholds.","remaining_difference":"The documentation does not establish the proposed micro-to-macro crosswalk, distributional summaries, comparable-session stratification or a repeated-excursion human-review gate that deliberately leaves the squad plan intact.","source_ids":["SRC3"]},{"name":"Individual-response monitoring in elite football","overlap":"Empirically separates within-player, between-player and individual responses to external load and concludes that internal sRPE load should be monitored in addition to external load.","remaining_difference":"This is evidence for individual heterogeneity, not the proposed decision workflow retaining a valid squad equilibrium indicator while routing only repeated local excursions to review.","source_ids":["SRC1"]}],"contrastive_claim_falsifier":"The contrast would be falsified as distinct if an earlier documented system is found that simultaneously retains a stable squad actual-to-planned indicator, exposes declared distributions and athlete-specific component trajectories, and uses repeated comparable-session excursions to trigger nonautomated local review without treating the squad indicator as invalid. Its practical value would also be falsified if shadow replay produces no reproducible excursions or no material decision differences from baseline review.","contrastive_claim_remaining":"Despite substantial overlap with existing athlete-monitoring dashboards, the narrower testable remainder is the explicit interpretive boundary: keep a valid stable squad actual-to-planned indicator visible, but prevent it from authorizing individual progression by routing predeclared repeated component excursions—without a composite readiness score—to human review while preserving the common plan for unaffected athletes.","experiment_id":"eoa_inverse_innovation_exp13_second_slot_policy60_20260806","gates":{"adequate_source_search":{"rationale":"Four search lanes covered the direct intervention, individual-response terminology, commercial practices and combinations of planned load, longitudinal baselines, thresholds and human review. Four opened sources include primary research, IOC guidance and two first-party products from four publisher organizations.","source_ids":["SRC1","SRC2","SRC3","SRC4"],"status":"PASS"},"bounded_next_test":{"rationale":"A retrospective replay followed by two shadow microcycles using already collected data is bounded and can measure alert reproducibility, reviewer agreement, incremental decision differences, missingness and privacy incidents without changing training or medical clearance.","source_ids":["SRC1","SRC2","SRC4"],"status":"PASS"},"distinct_testable_claim":{"rationale":"The exact conjunction of retaining a stable squad actual-to-planned indicator, displaying its declared distribution and component trajectories, and applying a repeated-excursion rule without an opaque score is narrower than the located product descriptions and can be tested against baseline decisions.","source_ids":["SRC1","SRC2","SRC3"],"status":"PASS"},"no_obvious_safety_or_authority_stop":{"rationale":"The authorized step is retrospective and shadow-only, preserves coach and clinician authority, excludes diagnosis and automated restriction, and has explicit privacy and rollback conditions. Existing guidance and product practice support monitored human decision-making; no source creates an obvious stop for this limited test.","source_ids":["SRC2","SRC4"],"status":"PASS"},"supported_problem":{"rationale":"Primary evidence demonstrates substantial between-player and individual internal-load responses to external load, while consensus guidance treats load, recovery and well-being as distinct monitoring concerns. The specific assertion that coaches actually advance athletes from a green squad mean was not directly demonstrated, so support is partial rather than complete.","source_ids":["SRC1","SRC4"],"status":"PASS"}},"prior_art_disposition":"SUBSTANTIAL_COLLISION","problem_evidence":{"finding":"Individual athletes can exhibit materially different internal responses to external training load, making individual monitoring relevant even in team settings. However, the retained sources do not directly verify the proposal's precise baseline behavior—that a stable squad mean is routinely treated as sufficient authorization for every athlete's progression.","source_ids":["SRC1","SRC4"],"status":"PARTLY_SUPPORTED"},"research_id":"eoa_inverse_innovation_exp13_light_screen_20260806","schema_version":1,"screen_id":"E13P126","screen_survival":false,"search_lanes":{"component_combination":{"no_result_note":null,"queries":["team-level athlete-level monitoring dashboard training load","planned actual training load individual baseline thresholds longitudinal athlete review","team load individual response dashboard adapted training human decision support"],"source_ids":["SRC1","SRC2","SRC3"]},"direct_problem_and_intervention":{"no_result_note":null,"queries":["athlete monitoring team average training load individual response dashboard readiness repeated deviations","sports training load monitoring individual responses group averages heterogeneity recovery athlete monitoring consensus"],"source_ids":["SRC1","SRC2"]},"products_practices_and_standards":{"no_result_note":null,"queries":["team sport athlete monitoring dashboard individual baseline soreness RPE countermovement jump training load","consensus statement athlete load monitoring individualised thresholds return to play training load"],"source_ids":["SRC2","SRC3","SRC4"]},"synonyms_and_historical_terms":{"no_result_note":null,"queries":["individual responses training load team athletes monitoring group mean","external load internal load individual differences team sport variability","acute chronic workload planned load team individual monitoring"],"source_ids":["SRC1","SRC3","SRC4"]}},"sources":[{"claims_supported":["Elite football players showed substantial between-player effects and individual responses of internal sRPE load to external-load measures.","The study advocates monitoring internal load in addition to external load because single external-load variables leave substantial response variability unexplained."],"publisher":"International Journal of Sports Physiology and Performance / Human Kinetics","source_id":"SRC1","source_type":"PRIMARY_RESEARCH","title":"Individual Response to External Training Load in Elite Football Players","url":"https://pubmed.ncbi.nlm.nih.gov/32698124/"},{"claims_supported":["The dashboard combines team response, readiness, recovery, recent load and testing outputs in one review view.","It compares athletes with defined baselines and thresholds, provides longitudinal pattern views and flags individuals for adapted training or increased monitoring.","It progresses from team-level scan to athlete-level interpretation and is explicitly decision support rather than automated prescription."],"publisher":"Kitman Labs","source_id":"SRC2","source_type":"FIRST_PARTY_PRODUCT","title":"From Monitoring Data to Daily Training Decisions","url":"https://www.kitmanlabs.com/blog/performance-monitoring-dashboard-my-ip/"},{"claims_supported":["The product offers selectable team and individual longitudinal workload graphs.","Its team view includes planned load, activity load, injuries and rolling workload measures, while individual views show daily and weekly trajectories.","Four-week rolling averages and workload thresholds are established product practices."],"publisher":"AthleteMonitoring.com","source_id":"SRC3","source_type":"FIRST_PARTY_PRODUCT","title":"Combined & workload management graphs","url":"https://support.en.athletemonitoring.com/support/solutions/articles/13000027690-combined-workload-management-graphs"},{"claims_supported":["IOC-convened guidance addresses prescription and monitoring of training and competition load.","It recommends considering athlete well-being, recovery and injury rather than relying on load alone.","Poor load management is treated as a health concern requiring athlete, coach and support-staff oversight."],"publisher":"International Olympic Committee and British Journal of Sports Medicine","source_id":"SRC4","source_type":"OFFICIAL_GUIDANCE","title":"How much is too much? Part 1: International Olympic Committee consensus statement on load in sport and risk of injury","url":"https://pubmed.ncbi.nlm.nih.gov/27535989/"}],"world_novelty_boundary":"This bounded public-web screen found substantial collision with established monitoring dashboards but did not locate the proposal's full conjunction of stable macro retention, declared distributions and strata, component-preserving repeated excursions, and local human review. The search cannot establish world novelty, patentability, market size, expert acceptance or realized value."}