{"id":"W4200110019","doi":"10.36909/jer.12241","title":"Virtual Reality Simulator for Training on Surgery Ergonomics Skills","year":2021,"lang":"en","type":"article","venue":"Journal of Engineering Research","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"King Abdulaziz University","keywords":"Virtual reality; Human factors and ergonomics; Simulation; Table (database); Work (physics); Computer science; Training (meteorology); Human–computer interaction; Poison control; Engineering; Medicine; Mechanical engineering; Medical emergency","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0004981195,0.0005465413,0.0003677485,0.000534323,0.0001225626,0.0004899096,0.0005093028,0.0004724064,0.006641434],"category_scores_gemma":[0.001390945,0.0002015661,0.0006331716,0.0003519299,0.0001413727,0.0003227323,0.0006295303,0.0003729586,0.001291759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001594243,"about_ca_system_score_gemma":0.0005426047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007354912,"about_ca_topic_score_gemma":0.001130068,"domain_scores_codex":[0.9994636,0.0001919049,0.00003837033,0.00005169368,0.0002162282,0.00003822304],"domain_scores_gemma":[0.9994356,0.0002016135,0.0000525257,0.00009272667,0.0001535355,0.00006396387],"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":[0.001453789,0.001881288,0.0171834,0.002230707,0.0003114213,0.0005688365,0.0009063796,0.07313189,0.2839321,0.005392355,0.01828635,0.5947214],"study_design_scores_gemma":[0.0009020292,0.01273723,0.1269778,0.0009450715,0.0007943465,0.005045812,0.0009304333,0.4512231,0.1777556,0.005947131,0.2160527,0.0006887371],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3192424,0.00268486,0.6386818,0.0007979962,0.0006844906,0.001115967,0.00345119,0.00552245,0.02781885],"genre_scores_gemma":[0.7830719,0.002233549,0.2002244,0.0003234732,0.00009795,0.0007974773,0.002640614,0.0001899747,0.01042068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006641434,"threshold_uncertainty_score":0.02221787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1627636563202805,"score_gpt":0.4098825769909633,"score_spread":0.2471189206706828,"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."}}