{"id":"W2330616842","doi":"10.1093/neuonc/nou209.25","title":"PROFICIENCY PERFORMANCE BENCHMARKS FOR REMOVAL OF SIMULATED BRAIN TUMORS USING NEUROTOUCH","year":2014,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Neurosurgery; Metric (unit); Virtual reality; Medical physics; Computer science; Set (abstract data type); Task (project management); Quality (philosophy); Medicine; Human–computer interaction; Operations management; Surgery; Engineering; Systems engineering","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":[0.002322108,0.0005270424,0.0002729394,0.0008932903,0.0002307031,0.0004750811,0.0005718858,0.0003317578,0.001621831],"category_scores_gemma":[0.008102812,0.0001260033,0.0003226053,0.000273484,0.0003119192,0.0004477529,0.001025187,0.0002969415,0.0003220162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003892476,"about_ca_system_score_gemma":0.000654111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008601029,"about_ca_topic_score_gemma":0.001765378,"domain_scores_codex":[0.9982733,0.0005730515,0.0002493238,0.000171517,0.0006069758,0.0001258834],"domain_scores_gemma":[0.9941783,0.001941052,0.001468314,0.0003379089,0.001529924,0.0005445623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002106341,0.003120709,0.77178,0.0006420845,0.0001907215,0.0002716642,0.004356246,0.02507513,0.03773109,0.0009558854,0.001973198,0.151797],"study_design_scores_gemma":[0.000118064,0.01667092,0.8915204,0.0001448665,0.00006906745,0.0006293789,0.002763349,0.03914691,0.04351424,0.0008634515,0.004448901,0.0001104712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927627,0.00004943374,0.005168334,0.00002927383,0.00000706326,0.0001501422,0.0001699197,0.00004283241,0.00162018],"genre_scores_gemma":[0.9896514,0.00005593722,0.0092493,0.0000128536,0.000003626365,0.0002409615,0.0004478946,0.000007394702,0.0003305655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002322108,"threshold_uncertainty_score":0.01228064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04493891550099699,"score_gpt":0.3464016866500638,"score_spread":0.3014627711490668,"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."}}