{"id":"W4406540221","doi":"10.1016/j.yort.2014.01.089","title":"10.1016/j.yort.2014.01.089","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Joint arthroplasty; Selection (genetic algorithm); Joint (building); Arthroplasty; Total joint replacement; Intensive care medicine; Surgery; Artificial intelligence; Computer science; Structural engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004573229,0.0008358979,0.0003552328,0.001211039,0.0005504012,0.00153131,0.0006323987,0.0020405,0.8559822],"category_scores_gemma":[0.001077185,0.0003259078,0.0005044987,0.000555679,0.0005266874,0.001436932,0.0007969668,0.0009600208,0.678542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005704992,"about_ca_system_score_gemma":0.0008762322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002633509,"about_ca_topic_score_gemma":0.003055429,"domain_scores_codex":[0.9998066,0.0000208751,0.00001882969,0.00004722931,0.00005001023,0.00005639056],"domain_scores_gemma":[0.9994597,0.0001176692,0.00009962791,0.00002310566,0.0001040303,0.0001959046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003792292,0.000589357,0.01621269,0.0006507749,0.00006512812,0.0004165177,0.0001523338,0.0002296876,0.0006824375,0.003631344,0.2458685,0.731122],"study_design_scores_gemma":[0.0002119017,0.0004812989,0.03668413,0.003076687,0.0001420878,0.005432621,0.0007848875,0.0006644371,0.000762139,0.006281532,0.9454176,0.00006071827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01860439,0.02038479,0.002207611,0.01092028,0.002362158,0.0001194163,0.00483923,0.00124376,0.9393184],"genre_scores_gemma":[0.04723005,0.009548305,0.001897323,0.002289805,0.001031612,0.0001228419,0.002515818,0.0002265308,0.9351377],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1440178,"threshold_uncertainty_score":0.2054238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005907207518393099,"score_gpt":0.1966959122438389,"score_spread":0.1907887047254458,"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."}}