{"id":"W2600447690","doi":"10.1136/bjsports-2016-097270.177","title":"Pre-injury variables and risk of sport concussion","year":2017,"lang":"en","type":"article","venue":"British Journal of Sports Medicine","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Concussion; Athletes; Odds ratio; Post-hoc analysis; Neuropsychology; Medicine; Logistic regression; Cognition; Poison control; Odds; Physical therapy; Risk factor; Confidence interval; Injury prevention; Psychology; Psychiatry; Medical emergency; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005597078,0.000359389,0.0002697851,0.001128468,0.0004736037,0.0006092118,0.0004279666,0.0005258542,0.002258234],"category_scores_gemma":[0.00439218,0.0001818173,0.0003428191,0.0008069709,0.0004657662,0.0002500129,0.0002915487,0.0006772355,0.0002369439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000699146,"about_ca_system_score_gemma":0.001724034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07272658,"about_ca_topic_score_gemma":0.09636677,"domain_scores_codex":[0.999549,0.00006250079,0.00004209941,0.0000615918,0.000149813,0.0001350588],"domain_scores_gemma":[0.9975904,0.0003905817,0.001057897,0.00006794519,0.0003981811,0.0004949489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003993875,0.00002157235,0.9990628,0.000004512876,0.00001574626,0.00002631558,0.00001481996,0.00002022666,0.00002233457,0.00000407918,0.0000272269,0.0007403987],"study_design_scores_gemma":[0.000001290637,0.00004965501,0.9996841,0.000004208982,0.000006181543,0.0001007794,0.00003558498,0.00004916744,0.00001413536,0.000006921871,0.00004659495,0.000001367394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984797,0.0005084262,0.00006074507,0.00005581489,0.000006964513,0.00001491629,0.0003341734,0.000004697555,0.0005345547],"genre_scores_gemma":[0.9992377,0.0001480599,0.00007555915,0.00001623562,0.00001113707,0.000006786848,0.0002930233,9.1857e-7,0.0002106994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07272658,"threshold_uncertainty_score":0.1446065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467789129942015,"score_gpt":0.3296247425509528,"score_spread":0.3049468512515326,"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."}}