{"id":"W2152156996","doi":"10.1016/j.wneu.2012.08.022","title":"Fundamentals of Neurosurgery: Virtual Reality Tasks for Training and Evaluation of Technical Skills","year":2012,"lang":"en","type":"article","venue":"World Neurosurgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":135,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; National Research Council Canada","funders":"National Research Council Canada; Brain Tumour Research; Strong; Brain Tumour Foundation of Canada; McGill University","keywords":"Medicine; Neurosurgery; Virtual reality; Medical physics; Medical education; Training (meteorology); Human–computer interaction; Surgery","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":[],"consensus_categories":[],"category_scores_codex":[0.002815295,0.0001395576,0.0005242396,0.0003067931,0.00005688702,0.000007629363,0.00003431443,0.00006353237,0.0001299183],"category_scores_gemma":[0.001535976,0.000127306,0.0001866496,0.0004503616,0.0001558456,0.0001172907,0.00003039221,0.0001270561,9.105934e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003450428,"about_ca_system_score_gemma":0.00007165635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003420886,"about_ca_topic_score_gemma":0.000002348913,"domain_scores_codex":[0.9980876,0.0001912057,0.0006752646,0.0002246761,0.0005337513,0.0002874746],"domain_scores_gemma":[0.9970664,0.002102026,0.0002847558,0.0002123846,0.0001426251,0.000191785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001119058,0.001650941,0.6046268,0.0002622856,0.0001052208,0.000006960658,0.0009227438,0.0002691442,0.106757,0.002891069,0.00151132,0.2798775],"study_design_scores_gemma":[0.004495253,0.0002684297,0.9579207,0.0002416635,0.000402172,0.00005105602,0.0001374097,0.002354804,0.01702696,0.0002188961,0.01661671,0.0002659915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963645,0.0001153048,0.00007357318,0.0004640036,0.0004098048,0.0005128435,0.0000339616,0.00004478487,0.001981167],"genre_scores_gemma":[0.999063,0.00001432733,0.00007632469,0.0005015787,0.0001316328,0.00003530866,0.00003440785,0.00002469631,0.0001187728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3532938,"threshold_uncertainty_score":0.5191386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1328170305545455,"score_gpt":0.3781678195098005,"score_spread":0.245350788955255,"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."}}