{"id":"W2559952965","doi":"10.1503/cjs.004316","title":"The development and validation of a multivariable model to predict whether patients referred for total knee replacement are suitable surgical candidates at the time of initial consultation","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Logistic regression; Total knee replacement; Orthopedic surgery; Osteoarthritis; Referral; Physical therapy; Joint replacement; Multivariate analysis; Arthroplasty; Surgery; Family medicine; Internal medicine; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000950441,0.0000880027,0.0002788042,0.0001281783,0.0001417691,0.00001156475,0.00003648423,0.0000454824,0.00005702841],"category_scores_gemma":[0.001792582,0.0000452485,0.00006223904,0.00007874577,0.00009718099,0.00009761626,0.0000165629,0.00005391679,0.000002038031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002026287,"about_ca_system_score_gemma":0.001011338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001982973,"about_ca_topic_score_gemma":0.001080497,"domain_scores_codex":[0.998843,0.00006303963,0.0005747133,0.0000910348,0.0002228837,0.0002053477],"domain_scores_gemma":[0.9971294,0.001666299,0.0003836589,0.0001131729,0.0004605502,0.0002469644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003800644,0.00007304935,0.96549,0.00009260227,0.0003567947,0.00001384241,0.003387629,0.0004297833,0.002016469,0.0000306393,0.01578516,0.008523314],"study_design_scores_gemma":[0.02030386,0.001428378,0.8301463,0.003230878,0.0004150493,0.0003315916,0.002271457,0.00197208,0.09984522,0.0001335292,0.03931101,0.0006106623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980209,0.00008426126,0.0001419774,0.001052288,0.0001765572,0.0003355752,0.0001268999,0.000001958458,0.00005957238],"genre_scores_gemma":[0.9978801,0.000005528014,0.0002712395,0.00003077048,0.00003009654,0.00001287305,0.00001334777,0.0000122341,0.001743807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1353438,"threshold_uncertainty_score":0.2146018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0302846464840947,"score_gpt":0.2664590501680412,"score_spread":0.2361744036839465,"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."}}