{"id":"W4376473135","doi":"10.51922/1818-426x.2023.2.73","title":"ЭФФЕКТИВНОСТЬ КОМПЬЮТЕРНОЙ ТЕХНОЛОГИИ ПРИ ТОТАЛЬНОМ ЭНДОПРОТЕЗИРОВАНИИ КОЛЕННОГО СУСТАВА","year":2023,"lang":"en","type":"article","venue":"Medical Journal","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; WOMAC; Osteoarthritis; Range of motion; Deformity; Surgery; Nuclear 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000585211,0.0001535581,0.0003292657,0.0006113805,0.0003373504,0.0005486471,0.00012318,0.0002706184,0.001833035],"category_scores_gemma":[0.002201823,0.0001403308,0.0002680005,0.0005752795,0.0004375491,0.0002585782,0.0002631957,0.0003041867,0.0005680039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003636608,"about_ca_system_score_gemma":0.000455887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001479531,"about_ca_topic_score_gemma":0.001608009,"domain_scores_codex":[0.9995204,0.00009983903,0.00004339323,0.00006798853,0.0001851251,0.00008326746],"domain_scores_gemma":[0.9995223,0.0001414996,0.000166336,0.00003027626,0.00007565373,0.00006390661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00234649,0.001011603,0.6685879,0.0002569435,0.0001486971,0.006800693,0.001753624,0.0005078813,0.00883416,0.001186245,0.001638561,0.3069271],"study_design_scores_gemma":[0.000624911,0.00700234,0.9323686,0.0001123855,0.0002396475,0.02680714,0.002580007,0.001615371,0.005494449,0.001296333,0.02176674,0.00009202852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959239,0.001498246,0.0005580119,0.000117952,0.00003206612,0.00003381661,0.00005168095,0.000003074107,0.001781319],"genre_scores_gemma":[0.9972711,0.0008134277,0.0008702277,0.00005450104,0.00005831382,0.00004842054,0.00009513257,0.000002477119,0.0007862811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001833035,"threshold_uncertainty_score":0.006132066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909508082935142,"score_gpt":0.3111148800518256,"score_spread":0.2920197992224742,"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."}}