{"id":"W2564433246","doi":"10.1123/ijspp.2016-0522","title":"Identification of Sensitive Measures of Recovery After External Load From Football Match Play","year":2016,"lang":"en","type":"article","venue":"International Journal of Sports Physiology and Performance","topic":"Sports Performance and Training","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Calgary","keywords":"Football; Jump; Elite athletes; Mathematics; Testosterone (patch); Jumping; Football players; Athletes; Statistics; Medicine; Animal science; Simulation; Physical therapy; Internal medicine; Computer science; Biology; Physics; Physiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002930231,0.00009376674,0.0002901927,0.0001310898,0.00001454734,0.000003206719,0.00008675687,0.0000695131,0.0001274168],"category_scores_gemma":[0.00001892608,0.00006094216,0.00009300815,0.00003521537,0.0001486621,0.0002695188,0.00002238262,0.0001088521,0.000002464962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003345918,"about_ca_system_score_gemma":0.000107161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009308248,"about_ca_topic_score_gemma":0.000001180239,"domain_scores_codex":[0.9987656,0.00000660672,0.0006234011,0.0001114278,0.0004019728,0.00009098458],"domain_scores_gemma":[0.9984035,0.00003716556,0.0007250478,0.0000961189,0.0006951746,0.00004301273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00709438,0.00008385755,0.631323,0.00003146636,0.0003197354,0.00007084062,0.0005627054,0.00002155346,0.3071698,0.00001947377,0.00002502001,0.05327822],"study_design_scores_gemma":[0.0009361522,0.0002529029,0.8582842,0.0007430568,0.00006172433,0.0002365062,0.00003890983,0.00003187331,0.1389582,0.0003406183,0.00006173983,0.00005407882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986867,0.000317643,0.0001706901,0.0001194511,0.000549231,0.00004408509,0.00002017497,0.000003024129,0.00008901327],"genre_scores_gemma":[0.9973259,0.001950487,0.0001797637,0.00009410398,0.000340205,0.000001425902,0.0000041827,0.00000677548,0.00009713477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2269612,"threshold_uncertainty_score":0.2485149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288402010543066,"score_gpt":0.2558185464425988,"score_spread":0.2429345263371681,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}