{"id":"W2808232403","doi":"10.1371/journal.pone.0198797","title":"Clinical diagnosis of partial or complete anterior cruciate ligament tears using patients' history elements and physical examination tests","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Canadian Institutes of Health Research","keywords":"Tears; Anterior cruciate ligament; Physical examination; Medicine; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002113341,0.00008821773,0.0004563289,0.0000847427,0.0000393327,0.000004739929,0.00003488192,0.00005526896,0.0001131768],"category_scores_gemma":[0.0001836,0.00007044914,0.00006145301,0.00004759286,0.0003329133,0.00006140736,0.00005054791,0.00008606047,0.00000386282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001153372,"about_ca_system_score_gemma":0.00004174667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000265455,"about_ca_topic_score_gemma":0.000002942656,"domain_scores_codex":[0.9988545,0.00005677161,0.0005556277,0.0001842085,0.0002299625,0.0001189084],"domain_scores_gemma":[0.9992454,0.00006299868,0.000295823,0.0001341148,0.0001844661,0.00007719125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002666858,0.003546072,0.8730925,0.0002181202,0.0001976428,0.000002177837,0.0004479052,6.298457e-9,0.02315827,0.000004145437,0.00009106875,0.09897538],"study_design_scores_gemma":[0.002076974,0.005336009,0.9258174,0.003342442,0.0004700387,0.000003224988,0.0000667244,0.001156686,0.06100224,0.00002338477,0.0005367216,0.0001681639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992329,0.0001054559,0.00002667532,0.0000391637,0.0001149192,0.0003742467,0.00001129223,0.0000382333,0.00005712633],"genre_scores_gemma":[0.9909461,0.0003815997,0.008167719,0.0001035431,0.0003081747,0.00002366694,0.000001783232,0.00001285001,0.00005455476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09880722,"threshold_uncertainty_score":0.2872833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097204348276897,"score_gpt":0.3400820719991602,"score_spread":0.2303616371714705,"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."}}