{"id":"W3199347245","doi":"10.1177/23259671211027543","title":"A Prediction Model for Primary Anterior Cruciate Ligament Injury Using Artificial Intelligence","year":2021,"lang":"en","type":"article","venue":"Orthopaedic Journal of Sports Medicine","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; University of Toronto","funders":"McGill University Health Centre; American Orthopaedic Society for Sports Medicine; McGill University","keywords":"Medicine; Anterior cruciate ligament; ACL injury; Magnetic resonance imaging; Surgery; Radiology","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":[0.002898157,0.0007812846,0.0007387646,0.001226644,0.0003710256,0.000917085,0.001004821,0.000798787,0.003520268],"category_scores_gemma":[0.006521529,0.0003401687,0.000921319,0.0004377763,0.0003944619,0.0004744329,0.0005639999,0.001126621,0.0007017101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009334378,"about_ca_system_score_gemma":0.001200145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01046433,"about_ca_topic_score_gemma":0.005686441,"domain_scores_codex":[0.9993162,0.0002705074,0.00005485789,0.0001511617,0.0001227701,0.00008451178],"domain_scores_gemma":[0.9958075,0.003027232,0.0003715862,0.00006865217,0.0006482812,0.00007680105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002172505,0.0002496458,0.03434381,0.00009959077,0.0001646489,0.0002103143,0.0001005543,0.9115846,0.0006120725,0.001963739,0.00174246,0.04871147],"study_design_scores_gemma":[0.000006342129,0.00003818575,0.001151003,0.00001186659,0.00001451953,0.00002110097,0.000006887015,0.997888,0.00007688001,0.000677196,0.0001035948,0.000004462241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4105532,0.001005876,0.5779327,0.001768377,0.0002083932,0.0004410959,0.001177539,0.001495989,0.00541684],"genre_scores_gemma":[0.9656258,0.0001966301,0.03091264,0.0001240302,0.00006073067,0.0003813698,0.0006660597,0.00002432002,0.002008402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01046433,"threshold_uncertainty_score":0.02080679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036081695766464,"score_gpt":0.3105173938890592,"score_spread":0.2744356981225953,"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."}}