{"id":"W2735218670","doi":"10.5489/cuaj.4222","title":"Evolving attitudes toward robotic surgery among Canadian urology residents","year":2017,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Robotic surgery; Urology; Medicine; General surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001560434,0.0001612225,0.0001729524,0.0008484222,0.003082921,0.001318949,0.0009399062,0.0005677582,0.004134404],"category_scores_gemma":[0.006229679,0.0002001386,0.0003883215,0.00121154,0.001488936,0.0004578921,0.0008852982,0.0007487297,0.0002247324],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01329241,"about_ca_system_score_gemma":0.01851037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8852379,"about_ca_topic_score_gemma":0.9178177,"domain_scores_codex":[0.9983087,0.0001437306,0.0000484809,0.0001278603,0.0009379676,0.0004332556],"domain_scores_gemma":[0.9940772,0.0005143914,0.0009876085,0.00006610219,0.001830237,0.002524459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009118158,0.000111256,0.9335869,0.0001438717,0.00004924679,0.0004600555,0.02409609,0.0002711197,0.0008971347,0.0002830791,0.007103325,0.0329067],"study_design_scores_gemma":[0.000008324865,0.0001302216,0.9600747,0.0001709345,0.00002080219,0.0004213163,0.02969449,0.0004016435,0.0001623896,0.00005384564,0.008811311,0.0000501898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917377,0.0004366971,0.00013848,0.002878397,0.00004162686,0.00002322999,0.0001996881,0.00001070615,0.00453353],"genre_scores_gemma":[0.9973152,0.0006646735,0.0002193496,0.0007294485,0.00001763375,0.00001124757,0.0001241049,0.000004683752,0.0009136511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9867076,"threshold_uncertainty_score":0.2308759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04667662433299385,"score_gpt":0.2842541682872832,"score_spread":0.2375775439542893,"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."}}