{"id":"W2125324072","doi":"10.1002/art.38685","title":"Use of a Validated Algorithm to Judge the Appropriateness of Total Knee Arthroplasty in the United States: A Multicenter Longitudinal Cohort Study","year":2014,"lang":"en","type":"article","venue":"Arthritis & Rheumatology","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Osteoarthritis; Confidence interval; Total knee arthroplasty; Physical therapy; Arthroplasty; Cohort; Cohort study; Population; Surgery; Internal medicine; Alternative medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001158244,0.0003167756,0.001069595,0.0003734503,0.0001250329,0.00002963909,0.0001746395,0.0001174943,0.00008067322],"category_scores_gemma":[0.0009066319,0.0001999584,0.0001406934,0.0008953353,0.0005118613,0.000135137,0.0001989452,0.0003943978,0.00005240717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002936571,"about_ca_system_score_gemma":0.00006706729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004563187,"about_ca_topic_score_gemma":0.002337801,"domain_scores_codex":[0.9963793,0.0009908496,0.001073071,0.0005009643,0.0005275032,0.0005283753],"domain_scores_gemma":[0.9970464,0.001293132,0.0002948561,0.0009436166,0.0003039962,0.0001179659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003684001,0.001318128,0.9817192,0.00005096391,0.0002426609,0.00007981197,0.006719476,0.0002687103,0.00008360347,0.0002305488,0.0002421185,0.008676384],"study_design_scores_gemma":[0.006481502,0.001974075,0.9802604,0.000286642,0.00009760476,0.000880671,0.004813898,0.003778296,0.0001945828,0.00002933656,0.00098454,0.0002183969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948179,0.00008463171,0.001353588,0.0009358178,0.0003460823,0.002346615,0.00004712238,0.00004780962,0.00002047178],"genre_scores_gemma":[0.9982144,0.00009784187,0.001028967,0.0003150291,0.0000125015,0.0001849823,0.0000729772,0.00003874199,0.00003459322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008457987,"threshold_uncertainty_score":0.8154069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201284677689373,"score_gpt":0.2657308561167971,"score_spread":0.2456023883478598,"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."}}