{"id":"W3015971114","doi":"10.1016/j.wneu.2020.03.187","title":"Roadmap for Developing Complex Virtual Reality Simulation Scenarios: Subpial Neurosurgical Tumor Resection Model","year":2020,"lang":"en","type":"article","venue":"World Neurosurgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Manitoba; Jewish General Hospital; McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; National Research Council Canada; Montreal Neurological Institute and Hospital; King Fahad Medical City; Royal College of Physicians and Surgeons of Canada","keywords":"Virtual reality; Haptic technology; Psychomotor learning; Surgical simulation; Process (computing); Neurosurgery; Medicine; Computer science; Variety (cybernetics); Human–computer interaction; Simulation; Surgery; Artificial intelligence; Cognition","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003867947,0.0002556976,0.0005187914,0.0001893765,0.0003015625,0.00007165672,0.0000807461,0.00007189305,0.00009998326],"category_scores_gemma":[0.001365501,0.0002489839,0.0002911387,0.0007363546,0.00007501145,0.0001698715,0.00005723769,0.0003325915,0.00002105896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008880263,"about_ca_system_score_gemma":0.0001488824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004973949,"about_ca_topic_score_gemma":0.00001052587,"domain_scores_codex":[0.9976115,0.0001397926,0.0007343434,0.0006251439,0.0004640177,0.0004252127],"domain_scores_gemma":[0.9978392,0.001235307,0.0001892248,0.0002106921,0.0001710762,0.0003544658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009587195,0.0002328162,0.01251933,0.0001975044,0.00004757255,0.0002067358,0.0003148692,0.9556038,0.005890709,0.003370983,0.003426149,0.008602336],"study_design_scores_gemma":[0.003161907,0.0001684583,0.01527159,0.00004311582,0.00003780084,0.00001279121,0.00001202962,0.9369603,0.0004656597,0.0001166254,0.04350223,0.0002474636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8980724,0.00001331864,0.07212747,0.02500167,0.0007905478,0.001268443,0.00003862974,0.0007167982,0.001970737],"genre_scores_gemma":[0.9833879,0.000003602553,0.0003969524,0.01503261,0.0006644504,0.00003078962,0.0001250195,0.00005853783,0.0003000789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08531558,"threshold_uncertainty_score":0.9999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2063552005245494,"score_gpt":0.3614901591198083,"score_spread":0.1551349585952588,"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."}}