{"id":"W4390767930","doi":"10.1049/htl2.12066","title":"Clinical trainee performance on task‐based AR/VR‐guided surgical simulation is correlated with their 3D image spatial reasoning scores","year":2024,"lang":"en","type":"article","venue":"Healthcare Technology Letters","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Megagrants","keywords":"Computer science; Ranking (information retrieval); Task (project management); Metric (unit); Population; Process (computing); Artificial intelligence; Medical physics; Simulation; Physical medicine and rehabilitation; Human–computer interaction; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0009293894,0.000311007,0.0001938391,0.0009540429,0.0003102444,0.0006710354,0.0003416373,0.0004936631,0.005595473],"category_scores_gemma":[0.0125684,0.0001700383,0.0002182362,0.0003239358,0.0005765378,0.0004217204,0.0007391347,0.0004876042,0.001725704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005381107,"about_ca_system_score_gemma":0.0004881174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00626703,"about_ca_topic_score_gemma":0.008842477,"domain_scores_codex":[0.9993812,0.0001215886,0.00005884905,0.00007385774,0.000235007,0.0001294508],"domain_scores_gemma":[0.9931881,0.002355357,0.001588775,0.0002592963,0.001245762,0.001362653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003048915,0.000403135,0.9764772,0.00003119681,0.00006009558,0.0001617485,0.001167915,0.001815256,0.001272843,0.00005548136,0.001170697,0.01707957],"study_design_scores_gemma":[0.00002560827,0.001256818,0.9914277,0.00001666337,0.00002144223,0.0005189351,0.001425107,0.003036238,0.0009008943,0.0001383091,0.001203771,0.00002861556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996344,0.00006742236,0.0003388359,0.00006576895,0.00000878038,0.00002681375,0.0001111945,0.00003857349,0.00299859],"genre_scores_gemma":[0.9982569,0.00008702948,0.0002772179,0.00001901166,0.000004877181,0.00001901795,0.0001985013,0.00000604653,0.001131381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00626703,"threshold_uncertainty_score":0.01871872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04100671592791222,"score_gpt":0.3611506111527431,"score_spread":0.3201438952248309,"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."}}