{"id":"W2185029867","doi":"10.7863/jum.2011.30.7.965","title":"Comparison of Sonography and Computed Tomography as Imaging Tools for Assessment of Airway Structures","year":2011,"lang":"en","type":"article","venue":"Journal of Ultrasound in Medicine","topic":"Head and Neck Anomalies","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Mount Sinai Hospital; Toronto Western Hospital; Women's College Hospital; University of Toronto","funders":"","keywords":"Medicine; Epiglottis; Thyroid cartilage; Hyoid bone; Airway; Nuclear medicine; Arytenoid cartilage; Computed tomography; Tongue; Tomography; Radiology; Computed tomographic; Cricoid cartilage; Larynx; Anatomy; Surgery; Pathology","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":[0.0007578956,0.0001426992,0.0009903456,0.0006382846,0.00002869329,0.000005464766,0.0001061482,0.00005774759,0.00009641034],"category_scores_gemma":[0.0004370288,0.00009626533,0.0001500822,0.0003062581,0.0003578054,0.0001491127,0.00001181134,0.0002527837,4.048076e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001641012,"about_ca_system_score_gemma":0.00009137009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004774587,"about_ca_topic_score_gemma":0.00000517225,"domain_scores_codex":[0.9982507,0.00005370897,0.001052766,0.0001122008,0.0003584316,0.0001722071],"domain_scores_gemma":[0.9978999,0.0008245563,0.000660617,0.0001297584,0.0003473767,0.0001377603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000434476,0.0003152022,0.9187046,0.0004100553,0.0001908423,0.00001296813,0.004022036,0.000003395393,0.06583501,0.001027701,0.001122772,0.007920904],"study_design_scores_gemma":[0.004638858,0.004109124,0.9637208,0.001304009,0.0002759758,0.0003044224,0.006048943,0.0001096604,0.01655778,0.001818813,0.001012398,0.00009921992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925335,0.003031138,0.002060519,0.0003791218,0.0002168106,0.0002440225,0.000005699404,0.000004855865,0.001524321],"genre_scores_gemma":[0.9825863,0.0002922572,0.01676247,0.0001780487,0.0001573916,0.000001699064,0.000006094679,0.00001129775,0.000004476153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04927722,"threshold_uncertainty_score":0.3925586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06001713800482858,"score_gpt":0.380706533228689,"score_spread":0.3206893952238604,"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."}}