{"id":"W2914028439","doi":"10.1080/07303084.2018.1546630","title":"If You Must Cut Athletes from School Sports Teams, Consider Best Practices","year":2019,"lang":"en","type":"article","venue":"Journal of Physical Education Recreation & Dance","topic":"Sports injuries and prevention","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Alberta","funders":"","keywords":"Athletes; Best practice; Interview; Psychology; Process (computing); Applied psychology; Medical education; Medicine; Physical therapy; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002642406,0.0001335144,0.0003414445,0.0001002074,0.00005352239,0.00005053406,0.00007986358,0.00006169461,0.001818554],"category_scores_gemma":[0.0007286903,0.0001100892,0.00016491,0.0001742927,0.00004121781,0.0007005034,0.00001234629,0.0003320388,0.0001582909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308392,"about_ca_system_score_gemma":0.0008640953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001850545,"about_ca_topic_score_gemma":0.000003394907,"domain_scores_codex":[0.998641,0.00005346085,0.0004928815,0.0001926041,0.0004978426,0.0001221821],"domain_scores_gemma":[0.9970292,0.0001654968,0.001706296,0.0002643096,0.0006353454,0.0001993053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001377595,0.006047359,0.5620559,0.0002571061,0.0004564969,0.00002362192,0.003364258,0.0001675272,0.05079641,0.002788787,0.05512988,0.3175351],"study_design_scores_gemma":[0.00188098,0.001030367,0.4928542,0.002598635,0.0008742536,0.0001389726,0.007256931,0.0003868433,0.01011174,0.004612295,0.4778763,0.0003784111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874427,0.0006392831,0.00009162914,0.002728623,0.0010605,0.0003004454,0.000005630061,0.0000136934,0.007717537],"genre_scores_gemma":[0.9862515,0.0003243465,0.003054186,0.0007209896,0.002649033,0.000008713292,0.00006525191,0.00001796494,0.006907978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4227464,"threshold_uncertainty_score":0.9990939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726903045247977,"score_gpt":0.3540986032666472,"score_spread":0.3368295728141674,"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."}}