{"id":"W4300877976","doi":"10.1097/00004728-200605000-00033","title":"High-Resolution Computed Tomography of Temporal Bone","year":2006,"lang":"en","type":"article","venue":"Journal of Computer Assisted Tomography","topic":"Ear Surgery and Otitis Media","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Computed tomography; Temporal bone; Tomography; Resolution (logic); Nuclear medicine; High-resolution computed tomography; Radiology; Anatomy; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005295484,0.000241371,0.0009167027,0.001581745,0.00006306246,0.00003056177,0.0001617193,0.0001679872,0.00004654237],"category_scores_gemma":[0.00001384947,0.0002018189,0.0009950779,0.001446069,0.0001948953,0.0001959734,0.00003971021,0.0004224608,0.000003168742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000263949,"about_ca_system_score_gemma":0.0001048426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006602058,"about_ca_topic_score_gemma":0.00001060308,"domain_scores_codex":[0.9973354,0.000149014,0.001278837,0.0001957158,0.000733676,0.0003073404],"domain_scores_gemma":[0.9976315,0.0001529049,0.001034152,0.0002819909,0.0006766947,0.0002227239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009306998,0.002340758,0.9180046,0.0003212478,0.0008883095,0.0012226,0.0001271077,0.0005150456,0.006096769,0.0007895073,0.04723137,0.02153196],"study_design_scores_gemma":[0.002801954,0.001080569,0.986231,0.0006728466,0.0002737454,0.001188864,0.00001206499,0.0005329262,0.002346717,0.0003732216,0.004286115,0.0001999336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632554,0.002153632,0.03123761,0.0004978504,0.00218904,0.0001869536,0.00001542495,0.00006353469,0.0004005633],"genre_scores_gemma":[0.9378549,0.00002313836,0.06057734,0.0001851138,0.001261572,0.000001207516,0.00004097348,0.00002455082,0.0000312142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06822642,"threshold_uncertainty_score":0.8229934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009744078553366665,"score_gpt":0.2240955897613075,"score_spread":0.2143515112079408,"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."}}