{"id":"W4406540219","doi":"10.1016/j.yort.2016.06.010","title":"10.1016/j.yort.2016.06.010","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Total knee arthroplasty; Arthroplasty; Outcome (game theory); Surgery","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":[0.0004363369,0.0008083786,0.00032993,0.001142771,0.0005230662,0.001502225,0.0006454063,0.002065223,0.8327285],"category_scores_gemma":[0.001047125,0.0003017903,0.0004865459,0.0004970405,0.0004696737,0.001401422,0.0007660456,0.0009269127,0.6513478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005725717,"about_ca_system_score_gemma":0.0008930788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002824455,"about_ca_topic_score_gemma":0.003378433,"domain_scores_codex":[0.999818,0.00001873535,0.00001788637,0.00004234536,0.00004775009,0.00005519455],"domain_scores_gemma":[0.999503,0.00009701946,0.00009628254,0.00002015076,0.00009270419,0.0001908828],"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":[0.0004140214,0.0005855491,0.01773782,0.0006794782,0.00006944366,0.0004593245,0.0001771999,0.0002490393,0.0007450327,0.003484309,0.254058,0.7213408],"study_design_scores_gemma":[0.0001927683,0.0004620801,0.04041792,0.002989359,0.0001456532,0.005285691,0.0008068818,0.0006585125,0.0007741745,0.006069352,0.9421417,0.00005591898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02081192,0.02212628,0.002374355,0.01156933,0.002474135,0.0001248137,0.005906644,0.001327674,0.9332849],"genre_scores_gemma":[0.05442952,0.009978655,0.002095014,0.002254745,0.001128647,0.0001340437,0.003177914,0.0002430554,0.9265584],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1672715,"threshold_uncertainty_score":0.2385924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005991482381773645,"score_gpt":0.1958119835649727,"score_spread":0.1898205011831991,"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."}}