{"id":"W2080025821","doi":"10.1007/s11548-013-0905-8","title":"Assessing performance in brain tumor resection using a novel virtual reality simulator","year":2013,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; National Research Council Canada; Montreal Neurological Institute and Hospital","funders":"","keywords":"Construct validity; Virtual reality; Computer science; Face validity; Content validity; Construct (python library); Physical therapy; Simulation; Physical medicine and rehabilitation; Medicine; Medical physics; Human–computer interaction; Surgery; Patient satisfaction; Psychometrics","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":[0.0006315916,0.0007548605,0.0003204018,0.0003023861,0.0001728451,0.0004326038,0.0006725108,0.0007772538,0.00157914],"category_scores_gemma":[0.003902989,0.000232563,0.0004338516,0.0001129595,0.0002071026,0.0004214837,0.0005905114,0.0004345953,0.0005813102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000187299,"about_ca_system_score_gemma":0.0004603369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00173095,"about_ca_topic_score_gemma":0.001372834,"domain_scores_codex":[0.9996283,0.0001203792,0.00003931091,0.00006232551,0.00007891053,0.00007070095],"domain_scores_gemma":[0.9988147,0.0005099519,0.0001399979,0.00009356937,0.0001490316,0.0002926834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02693428,0.03435865,0.2081511,0.0008192972,0.0009609476,0.001656498,0.0091571,0.1340668,0.3586792,0.001002592,0.003302539,0.220911],"study_design_scores_gemma":[0.001503388,0.1274751,0.4951035,0.0001415036,0.0006704798,0.002507225,0.003977134,0.2750117,0.08593264,0.001204278,0.006067297,0.0004056873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973134,0.00001743511,0.002039689,0.00002115356,0.000008624835,0.00005525042,0.00009059638,0.00004784477,0.0004058988],"genre_scores_gemma":[0.9957806,0.00005819641,0.003137547,0.00002068138,0.000006436195,0.00008921207,0.0002118559,0.00001131246,0.0006842247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00173095,"threshold_uncertainty_score":0.00528276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07384767617315897,"score_gpt":0.347650700292122,"score_spread":0.273803024118963,"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."}}