{"id":"W2346080281","doi":"","title":"SURGICAL EFFICIENCY AND LEARNING CURVE DURING ROBOTIC-ASSISTED TOTAL KNEE ARTHROPLASTY","year":2018,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; WOMAC; Learning curve; Total knee arthroplasty; Surgery; Arthroplasty; Osteoarthritis; Robotic surgery; Physical therapy; Computer science","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":[0.001459958,0.0002177277,0.0002689653,0.0007114433,0.0002362466,0.0005938958,0.000311646,0.0001903008,0.00205319],"category_scores_gemma":[0.009964754,0.0001319288,0.0003402588,0.0004164272,0.0002794671,0.00052912,0.0005125087,0.0002995961,0.0003791658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004299095,"about_ca_system_score_gemma":0.0005118535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008236671,"about_ca_topic_score_gemma":0.001296137,"domain_scores_codex":[0.9986946,0.0002843472,0.0001743171,0.0001644789,0.0004943089,0.0001880315],"domain_scores_gemma":[0.9893427,0.003119051,0.004999375,0.0003716206,0.001308088,0.0008590922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00274595,0.001134825,0.8730987,0.00015673,0.00009752164,0.0004157407,0.0009683117,0.002659358,0.006212216,0.00008850094,0.000456736,0.1119654],"study_design_scores_gemma":[0.00002487928,0.005682257,0.9859619,0.0000270043,0.00002966396,0.0009999155,0.0005463041,0.00207803,0.00383169,0.0000980294,0.00068861,0.00003178751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987236,0.0001531054,0.0004194009,0.00002672048,0.00000362367,0.00001760679,0.00008711444,0.00001031424,0.0005586373],"genre_scores_gemma":[0.9990827,0.00007976114,0.0003391163,0.00001230408,0.000006585177,0.00001661077,0.0001036997,0.000003806188,0.0003554616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00205319,"threshold_uncertainty_score":0.007721066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073731914636276,"score_gpt":0.2341700278493126,"score_spread":0.2134327087029498,"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."}}