{"id":"W2046135204","doi":"10.1097/00004728-200603000-00034","title":"High-Resolution Computed Tomography of Temporal Bone","year":2006,"lang":"en","type":"article","venue":"Journal of Computer Assisted Tomography","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Coronal plane; Medicine; Temporal bone; Tomography; Scanner; Visualization; Computed tomography; Volume (thermodynamics); Radiology; Anatomy; Nuclear medicine; Artificial intelligence; Computer science; Physics","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":[0.0004984259,0.0002034452,0.0005124629,0.001282147,0.0001231748,0.00007443561,0.0003000808,0.0001225784,0.00001093297],"category_scores_gemma":[0.00003375403,0.0001667822,0.0006433356,0.001651039,0.0002597117,0.0003126215,0.00005429236,0.0003052378,0.000002110613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002869353,"about_ca_system_score_gemma":0.00005746324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008392716,"about_ca_topic_score_gemma":0.000002696451,"domain_scores_codex":[0.9972907,0.0003134366,0.00116416,0.0002543572,0.0006930925,0.0002842698],"domain_scores_gemma":[0.9979807,0.0003186455,0.0009711806,0.0002472023,0.0003606209,0.0001216553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006476832,0.00413966,0.1180109,0.0004212356,0.0002059663,0.0003003387,0.0005566372,0.01660817,0.7923273,0.009592046,0.01152417,0.04566588],"study_design_scores_gemma":[0.00167208,0.001081062,0.9693622,0.000255387,0.00005448996,0.0002471962,0.00001084691,0.003378908,0.01987948,0.002441693,0.001369008,0.0002476376],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445809,0.000225305,0.0533121,0.000358012,0.001173614,0.0001498368,0.0000115561,0.00005373934,0.0001349189],"genre_scores_gemma":[0.9561202,0.000006045862,0.04326328,0.0001071124,0.0004708179,0.000001544232,0.000004019534,0.00001784628,0.000009137034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8513513,"threshold_uncertainty_score":0.6801182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550699320003651,"score_gpt":0.24139503035685,"score_spread":0.2258880371568135,"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."}}