{"id":"W3139263210","doi":"10.1016/j.jsams.2021.03.004","title":"Motor performance is not related to injury risk in growing elite-level male youth football players. A causal inference approach to injury risk assessment","year":2021,"lang":"en","type":"article","venue":"Journal of science and medicine in sport","topic":"Sports injuries and prevention","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Elite; Football; Football players; Causal inference; Injury prevention; Psychology; Inference; Poison control; Medicine; Physical medicine and rehabilitation; Medical emergency; Computer science; Political science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005470335,0.000563947,0.0003636003,0.001007101,0.0003632852,0.00064858,0.0007525919,0.0007169422,0.002683552],"category_scores_gemma":[0.01581307,0.0004408565,0.001251578,0.0007045728,0.0007061465,0.0005245286,0.0007694901,0.0006632263,0.0001344722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003568659,"about_ca_system_score_gemma":0.0006858573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009879422,"about_ca_topic_score_gemma":0.006811173,"domain_scores_codex":[0.9976225,0.001298783,0.0001234362,0.000529539,0.0002259605,0.0001997759],"domain_scores_gemma":[0.9917741,0.004400813,0.002586787,0.0007515097,0.0001876508,0.000299129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003438817,0.00005576217,0.9935726,0.00003782301,0.0005191482,0.00008076031,0.00005844454,0.0004426925,0.0001386905,0.0002659399,0.00005352238,0.004430853],"study_design_scores_gemma":[0.00009250068,0.0004263236,0.9872995,0.00006133568,0.0008342816,0.0002495055,0.0002243638,0.008334714,0.0001906477,0.002012216,0.0002649963,0.000009615929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919825,0.0008156716,0.005781722,0.0003210218,0.00002205754,0.00006805809,0.0003005041,0.00002407764,0.000684289],"genre_scores_gemma":[0.9989198,0.0001375993,0.0006737308,0.00003052011,0.00001050891,0.00001684293,0.0001029831,0.00000183615,0.0001061423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009879422,"threshold_uncertainty_score":0.02893025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909621749609194,"score_gpt":0.337880278273521,"score_spread":0.3087840607774291,"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."}}