{"id":"W2017803310","doi":"10.1016/j.arth.2005.03.003","title":"A Comedy of Errors","year":2005,"lang":"en","type":"article","venue":"The Journal of Arthroplasty","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Comedy; Medicine; Orthodontics; Surgery; Art; Literature","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04506643,0.001083691,0.001646578,0.007341404,0.01029302,0.01668112,0.003110107,0.01100412,0.02166432],"category_scores_gemma":[0.2947086,0.001045821,0.001405222,0.004814667,0.02522041,0.02607381,0.01114874,0.02411035,0.01038145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004819447,"about_ca_system_score_gemma":0.01301127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004628668,"about_ca_topic_score_gemma":0.007043163,"domain_scores_codex":[0.9173288,0.02894178,0.006515504,0.006219388,0.03782553,0.003168934],"domain_scores_gemma":[0.6578849,0.133411,0.02788422,0.05119797,0.1082275,0.02139448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"case_report","study_design_scores_codex":[0.00009038826,0.00005035285,0.005279073,0.0002057358,0.0001009381,0.0009530534,0.00617623,0.0001997173,0.0001307282,0.07531644,0.8140653,0.0974319],"study_design_scores_gemma":[0.0000356505,0.00003612179,0.001811355,0.001590875,0.00005049919,0.002666421,0.01045744,0.0003614207,0.0002601034,0.1415511,0.8410696,0.000109446],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003869091,0.0117639,0.006428352,0.8890314,0.04848677,0.00002923226,0.0001749968,0.0004318426,0.03978444],"genre_scores_gemma":[0.1470258,0.01630092,0.01458609,0.6930553,0.06397933,0.0001382699,0.0003775925,0.001552614,0.06298401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04506643,"threshold_uncertainty_score":0.2383369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333363809066595,"score_gpt":0.2659671579295884,"score_spread":0.2526335198389224,"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."}}