{"id":"W1530653928","doi":"10.5772/22999","title":"Extraction of Airway in Computed Tomography","year":2012,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Tokyo Medical and Dental University; Ministry of Education, Culture, Sports, Science and Technology; University of Alberta","keywords":"Hounsfield scale; Computed tomography; Tomography; Soft tissue; Medicine; Airway; Nuclear medicine; Radiology; Medical imaging; Surgery","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000243531,0.0002661948,0.0005623961,0.001116139,0.00001742115,0.000006338237,0.0001468293,0.0004827142,0.0006198879],"category_scores_gemma":[0.00003207861,0.0002543564,0.0002479752,0.00004219383,0.0002899929,0.0000338279,0.0001033237,0.001099801,0.00009029017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782533,"about_ca_system_score_gemma":0.00005106536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004826998,"about_ca_topic_score_gemma":0.00002834934,"domain_scores_codex":[0.9983888,0.0000225826,0.0004725903,0.0003002687,0.0005234142,0.0002923738],"domain_scores_gemma":[0.9988121,0.0001074623,0.0002042642,0.0004597923,0.000279456,0.000136882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007468071,0.0002014126,0.001977682,0.0008279293,0.0006465831,0.0002492628,0.0004397967,1.356938e-7,0.3674329,0.01955891,0.0001304156,0.6077882],"study_design_scores_gemma":[0.003552009,0.001161061,0.007792836,0.002962216,0.0003916053,0.0004060422,0.0001110717,0.00004693696,0.8147308,0.0112942,0.1566193,0.000931863],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005581669,0.0008128817,0.001135844,0.0000508862,0.0003591927,0.001005787,0.00002761256,0.00008847847,0.9909377],"genre_scores_gemma":[0.9177089,0.00001359192,0.0008361664,0.00003405114,0.0002488426,0.00002127342,0.00003115486,0.00008680737,0.08101916],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9121273,"threshold_uncertainty_score":0.9999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090035288845896,"score_gpt":0.3048709635799133,"score_spread":0.2739706106914544,"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."}}