{"id":"W1543316906","doi":"10.1002/lary.24004","title":"Virtual surgical planning in endoscopic skull base surgery","year":2013,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Toronto; Toronto General Hospital; University Health Network","funders":"","keywords":"Workload; Surgical planning; Magnetic resonance imaging; Medicine; Operation planning; Virtual reality; Medical physics; Surgery; Radiology; Computer science; Artificial intelligence; Engineering; Operations research","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":[0.001622781,0.0002328786,0.0001383459,0.0004421197,0.0001897042,0.0003417409,0.0003383921,0.0001845004,0.002534552],"category_scores_gemma":[0.01144311,0.0001600946,0.0002266005,0.0002853147,0.0005149635,0.0004076685,0.0006138172,0.0002018987,0.0002001245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002423953,"about_ca_system_score_gemma":0.0004587325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006115635,"about_ca_topic_score_gemma":0.0008450171,"domain_scores_codex":[0.9988145,0.0007374539,0.00007181822,0.00005179799,0.0002609448,0.00006357125],"domain_scores_gemma":[0.9949406,0.003355104,0.0008993541,0.0002098409,0.0002424356,0.0003526183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002831049,0.001633981,0.5085397,0.000730465,0.0001122583,0.001313249,0.002474789,0.02627118,0.01021665,0.0005270662,0.00093795,0.4444117],"study_design_scores_gemma":[0.0001872229,0.01130058,0.9342549,0.0003008572,0.0001314471,0.01038823,0.003392007,0.02625813,0.007507675,0.001545782,0.004640295,0.0000927752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995363,0.0002661025,0.003271722,0.000072057,0.00001257326,0.00003275804,0.00002523588,0.00001326496,0.0009432011],"genre_scores_gemma":[0.9966504,0.0001774961,0.002975659,0.00001504961,0.00001251972,0.00002992578,0.00003099562,0.000002767448,0.0001053172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002534552,"threshold_uncertainty_score":0.008582175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04098744740063337,"score_gpt":0.2964354068971732,"score_spread":0.2554479594965399,"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."}}