{"id":"W1983067516","doi":"10.5489/cuaj.09159","title":"Development and validation of a virtual reality transrectal ultrasound guided prostatic biopsy simulator","year":2011,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Construct validity; Face validity; Virtual reality; Computer science; Content validity; Reliability (semiconductor); Biopsy; Prostate biopsy; Ultrasound; Haptic technology; Simulation; Medicine; Prostate; Radiology; Surgery; Artificial intelligence; Psychometrics; Patient satisfaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005762117,0.0007618552,0.0003519577,0.0005883892,0.0002614696,0.0006667503,0.001623346,0.0006182289,0.00140627],"category_scores_gemma":[0.01101197,0.0003792905,0.0007170058,0.0001735847,0.0006195271,0.000523262,0.001313475,0.0004429089,0.0004240084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004803348,"about_ca_system_score_gemma":0.001518079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009287268,"about_ca_topic_score_gemma":0.0007396328,"domain_scores_codex":[0.9968706,0.001716232,0.0002470343,0.0001868599,0.0008423493,0.0001369504],"domain_scores_gemma":[0.9940209,0.002309214,0.0004517978,0.0007765705,0.001849943,0.000591572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00292929,0.009262762,0.09104002,0.001437885,0.0004923276,0.0009581406,0.005765056,0.1230881,0.2940836,0.001965003,0.001920899,0.4670569],"study_design_scores_gemma":[0.002323416,0.07001488,0.1750122,0.0006290215,0.0008549432,0.004812125,0.002093717,0.4563502,0.2454118,0.001173649,0.04072989,0.0005943461],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.803691,0.0001779502,0.1912159,0.000130826,0.00008045221,0.002577427,0.000184596,0.0007041148,0.001237757],"genre_scores_gemma":[0.7312428,0.0002017226,0.2651556,0.00007048171,0.00002952006,0.001356691,0.000730554,0.00008850062,0.001124057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005762117,"threshold_uncertainty_score":0.03047335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05426221497166216,"score_gpt":0.2728000442072538,"score_spread":0.2185378292355916,"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."}}