{"id":"W2997790698","doi":"10.4085/1062-6050-560-18","title":"Epidemiology of Foot Injuries Using National Collegiate Athletic Association Data From the 2009–2010 Through 2014–2015 Seasons","year":2020,"lang":"en","type":"article","venue":"Journal of Athletic Training","topic":"Sports injuries and prevention","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Athletes; Medicine; Foot (prosody); Context (archaeology); Injury prevention; Physical therapy; Epidemiology; Poisson regression; Poison control; Confidence interval; Occupational safety and health; Demography; Population; Emergency medicine; Environmental health; Internal medicine; Pathology; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.003140769,0.0001416834,0.0006498776,0.00004547652,0.0001191978,0.00001028883,0.0003123219,0.0001464905,0.000359182],"category_scores_gemma":[0.005659512,0.0001019721,0.0001949314,0.0001980191,0.0001174831,0.0002326975,0.00009739508,0.0004973521,0.000006737024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138957,"about_ca_system_score_gemma":0.0006328681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005619443,"about_ca_topic_score_gemma":0.000009652588,"domain_scores_codex":[0.9977516,0.0002799343,0.0009325878,0.0001997381,0.0006015532,0.0002346193],"domain_scores_gemma":[0.9960175,0.001450618,0.001707959,0.0002439996,0.0004634368,0.000116477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001556358,0.00028411,0.528255,0.0001518792,0.002371862,0.00006356216,0.01988,0.001722836,0.004678472,0.002184757,0.4349229,0.003928294],"study_design_scores_gemma":[0.007189418,0.002029212,0.7745877,0.001944168,0.003472401,0.0003210849,0.01011227,0.02116893,0.0004012503,0.01199037,0.1661889,0.0005942896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8910967,0.007615288,0.009411414,0.08870631,0.001574618,0.0003709575,0.0005551613,0.0000248726,0.000644743],"genre_scores_gemma":[0.9719876,0.0002742741,0.02256918,0.003324196,0.001639397,0.000001133694,0.00008543809,0.00002241219,0.00009638126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2687339,"threshold_uncertainty_score":0.6775374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2536675177126199,"score_gpt":0.4020066008130222,"score_spread":0.1483390831004023,"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."}}