{"id":"W4405623922","doi":"10.29173/hsi416","title":"Taking the Pulse on Pedagogy: Anesthesiology Training in Virtual and Augmented Reality","year":2021,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anesthesiology; Augmented reality; Virtual reality; Popularity; Psychological intervention; Coronavirus disease 2019 (COVID-19); Pandemic; Pain medicine; Medical education; Training (meteorology); Computer science; Psychology; Medicine; Human–computer interaction; Disease; Anesthesia; Nursing; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.007498296,0.0008891379,0.001378396,0.001274863,0.004454309,0.005390099,0.003701635,0.03225168,0.007040059],"category_scores_gemma":[0.04196498,0.0004139182,0.001788702,0.001111676,0.01226128,0.008191891,0.004310695,0.03693015,0.002413281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006310022,"about_ca_system_score_gemma":0.01304612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01813743,"about_ca_topic_score_gemma":0.0414511,"domain_scores_codex":[0.9873948,0.007205188,0.001005527,0.0009088918,0.002900574,0.0005850641],"domain_scores_gemma":[0.9459838,0.04417263,0.00146268,0.0005778495,0.006361091,0.001441905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004535657,0.00003113298,0.0001411243,0.002230952,0.00002420549,0.0004855552,0.004888707,0.0002079934,0.0002592776,0.03317925,0.908675,0.04983131],"study_design_scores_gemma":[0.00001494164,0.0000433711,0.00030817,0.005280816,0.00001701488,0.0003793779,0.001952438,0.00009462925,0.00008962095,0.009648259,0.9821353,0.00003619163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0001893044,0.03501623,0.0005957276,0.8853757,0.07440532,0.0000159892,0.00002027262,0.00002275064,0.004358676],"genre_scores_gemma":[0.006121811,0.03970329,0.0008508429,0.8595268,0.08774153,0.00006493866,0.00002171413,0.00005183112,0.00591729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03225168,"threshold_uncertainty_score":0.04578257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2548381706495404,"score_gpt":0.4727129376585226,"score_spread":0.2178747670089822,"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."}}