{"id":"W2171506107","doi":"10.1164/rccm.200407-874oc","title":"The Prediction of Small Airway Dimensions Using Computed Tomography","year":2004,"lang":"en","type":"article","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":446,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; St. Paul's Hospital; University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Airway; Perimeter; Lumen (anatomy); Computed tomography; Parenchyma; Tomography; Radiology; Lung; Nuclear medicine; Pathology; Geometry; Internal medicine; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006572555,0.0004557425,0.0002301632,0.0007680949,0.0001229374,0.0005133587,0.0001815588,0.0004289101,0.0006494175],"category_scores_gemma":[0.007322393,0.0001836082,0.000213566,0.0003454884,0.0002805034,0.0003948388,0.0003167164,0.0004902142,0.0002513276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001560853,"about_ca_system_score_gemma":0.0001847853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558629,"about_ca_topic_score_gemma":0.002181252,"domain_scores_codex":[0.999662,0.0001485195,0.00003032106,0.00004573142,0.00008211443,0.00003137289],"domain_scores_gemma":[0.9965801,0.002056992,0.0006734755,0.0001044313,0.0002736858,0.0003113372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000131724,0.00002063605,0.9902748,0.000008802071,0.00001881785,0.00007492299,0.00002046412,0.0006648225,0.001132485,0.00002988245,0.0001398029,0.007482806],"study_design_scores_gemma":[0.00001344941,0.0002182251,0.9875165,0.00001743848,0.00002579456,0.0005524126,0.00006647319,0.009999976,0.001018401,0.0001777155,0.0003828987,0.00001065047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959817,0.0008861734,0.002042397,0.0001054747,0.0000155375,0.00002087943,0.0001424451,0.00004021478,0.0007650658],"genre_scores_gemma":[0.9982766,0.0002030586,0.00116649,0.0000153138,0.00002077195,0.00001246982,0.0001371035,0.000003363747,0.0001648553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001558629,"threshold_uncertainty_score":0.003475964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699743634735057,"score_gpt":0.3165357481735256,"score_spread":0.2895383118261751,"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."}}