{"id":"W4291019695","doi":"10.1007/s00167-022-07093-1","title":"Increasing incidence of anterior cruciate ligament reconstruction: a 17‐year population‐based study","year":2022,"lang":"en","type":"article","venue":"Knee Surgery Sports Traumatology Arthroscopy","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Laboratory of Public Health; University of Alberta","funders":"","keywords":"Anterior cruciate ligament reconstruction; Medicine; Incidence (geometry); Population; Epidemiology; Orthopedic surgery; Cruciate ligament; Anterior cruciate ligament; Demography; Surgery; Internal medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001326017,0.0002435947,0.00132513,0.0006566119,0.0003839553,0.00001321942,0.00008200894,0.0001097256,0.002237349],"category_scores_gemma":[0.0001017934,0.0002482544,0.0003500144,0.0004915117,0.000202271,0.0001414464,0.00007549703,0.0003521462,0.0000026939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273806,"about_ca_system_score_gemma":0.0002983739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003271058,"about_ca_topic_score_gemma":0.00003032074,"domain_scores_codex":[0.9969371,0.0002371709,0.001584956,0.0004608645,0.0004552617,0.0003246289],"domain_scores_gemma":[0.9982032,0.0001750927,0.0009002547,0.000478738,0.0001188692,0.0001238513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009406204,0.0004385599,0.9756277,0.00008545349,0.00007636564,0.0001546323,0.000223407,0.00001797469,0.0003125206,0.00001212135,0.00009040639,0.02202021],"study_design_scores_gemma":[0.001240586,0.0007167771,0.9861739,0.001085164,0.0001329362,0.003980692,0.00260061,0.00005843275,0.003218294,0.0001952029,0.0002865603,0.0003108908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963884,0.0006575516,0.00008281601,0.0002370334,0.001352772,0.0008155711,0.00001497478,0.0002422385,0.0002086161],"genre_scores_gemma":[0.9957878,0.0001045605,0.003618265,0.0001872229,0.00004733839,0.0001529794,0.00001042118,0.00003328685,0.00005813709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02170932,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317375323570352,"score_gpt":0.2762386655557877,"score_spread":0.2630649123200842,"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."}}