{"id":"W1525367846","doi":"10.1002/lary.24130","title":"Evaluation of intraoperative cone beam computed tomography and optical drill tracking in temporal bone surgery","year":2013,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"University of Toronto","keywords":"Cone beam computed tomography; Drill; Computed tomography; Tracking (education); Medicine; Drill hole; Tomography; Optics; Radiology; Materials science; Physics","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":[0.002037506,0.0001102676,0.0003429701,0.0001817801,0.000043883,0.00002830506,0.0000475168,0.00004625114,0.0001665883],"category_scores_gemma":[0.0001277152,0.00007404581,0.00004867366,0.0003230078,0.0001316081,0.0001304577,0.00005055126,0.0001279756,0.0000102652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002517452,"about_ca_system_score_gemma":0.0000529004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001936761,"about_ca_topic_score_gemma":0.00001556058,"domain_scores_codex":[0.9986722,0.0001903261,0.0003452802,0.0001731889,0.0004443456,0.0001746901],"domain_scores_gemma":[0.9992675,0.0001695721,0.00007740984,0.0001844707,0.000237109,0.00006394328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008427876,0.002049386,0.6527092,0.0008238789,0.001465175,0.0004865137,0.01195076,0.0003999558,0.1672255,0.004360822,0.01188787,0.1457981],"study_design_scores_gemma":[0.001959454,0.0002666276,0.9653001,0.0003452909,0.0002956764,0.00008188152,0.0005787984,0.01781978,0.01260754,0.0004866184,0.00009110894,0.000167108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949349,0.0008952206,0.0001093724,0.001465453,0.00006641418,0.000920343,0.000001206898,0.000019363,0.001587703],"genre_scores_gemma":[0.9991579,0.000007928731,0.0005566126,0.0001195194,0.00004467757,0.00004867323,0.00002032285,0.00001024654,0.00003411574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3125908,"threshold_uncertainty_score":0.30195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04201465149641531,"score_gpt":0.2904192413148298,"score_spread":0.2484045898184145,"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."}}