{"id":"W2074018701","doi":"10.1519/jsc.0b013e3182576a76","title":"Predicting Performance and Injury Resilience From Movement Quality and Fitness Scores in a Basketball Team Over 2 Years","year":2012,"lang":"en","type":"article","venue":"The Journal of Strength and Conditioning Research","topic":"Sports injuries and prevention","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Basketball; Population; Torso; Psychology; Physical medicine and rehabilitation; Resilience (materials science); Test (biology); Grip strength; Applied psychology; Jump; Physical therapy; Medicine; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001390845,0.000506598,0.0004105007,0.0009177703,0.0005114768,0.0006553577,0.0004246081,0.0007133391,0.0008350211],"category_scores_gemma":[0.003898402,0.0002661534,0.0004912316,0.0003937735,0.0002665051,0.0005969577,0.0009557742,0.0006589583,0.0003396256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002620354,"about_ca_system_score_gemma":0.0003276009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008479657,"about_ca_topic_score_gemma":0.01282638,"domain_scores_codex":[0.999495,0.0001190512,0.00005699209,0.00008849698,0.0001118767,0.0001286283],"domain_scores_gemma":[0.9984519,0.0001682826,0.0006566639,0.00008507694,0.000219724,0.0004182449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000951965,0.0001137748,0.9982906,0.000002387322,0.0000301733,0.00003743885,0.00007609325,0.0001143205,0.0001754534,0.000003982916,0.00002862185,0.001031909],"study_design_scores_gemma":[0.00000366275,0.0003833122,0.9989281,0.000002775562,0.00001442505,0.0000520052,0.0001365016,0.0003538494,0.0000726678,0.00001070432,0.00003908688,0.000002951653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997752,0.00002754507,0.00004751629,0.00001193949,0.000002619199,0.000005329985,0.00003364095,0.000001464663,0.00009476826],"genre_scores_gemma":[0.9995257,0.00002695736,0.00008795078,0.000008140522,0.00000395496,0.00001003363,0.0001600816,0.000001052417,0.000176114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008479657,"threshold_uncertainty_score":0.0168606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03378301431482647,"score_gpt":0.3755957668781548,"score_spread":0.3418127525633283,"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."}}