{"id":"W2895970929","doi":"10.1513/annalsats.201802-150oc","title":"Occupational Exposures and Computed Tomographic Imaging Characteristics in the SPIROMICS Cohort","year":2018,"lang":"en","type":"article","venue":"Annals of the American Thoracic Society","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"National Institute of Environmental Health Sciences; National Institutes of Health; Grifols; Regeneron Pharmaceuticals; Sunovion; Forest Research Institute; COPD Foundation; GlaxoSmithKline; Ikaria; National Heart, Lung, and Blood Institute; Novartis Pharmaceuticals Corporation; AstraZeneca; Chiesi Farmaceutici; Sanofi; Foundation for the National Institutes of Health","keywords":"Medicine; COPD; Computed tomographic; Cohort; Airway; Radiology; Computed tomography; Pulmonary disease; Cohort study; 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":[0.0008245426,0.0003255153,0.0002961064,0.0008488347,0.0004673383,0.0006395409,0.0003932661,0.0006181322,0.001962299],"category_scores_gemma":[0.001960561,0.00026078,0.0004400709,0.0007489152,0.0003343831,0.0004487319,0.0005955577,0.0004848914,0.0003441905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603099,"about_ca_system_score_gemma":0.000341738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004337565,"about_ca_topic_score_gemma":0.00374555,"domain_scores_codex":[0.9995435,0.0001004923,0.00005063458,0.0001186222,0.0001126293,0.00007408958],"domain_scores_gemma":[0.9991845,0.00009664609,0.0003298644,0.0001364687,0.00007724648,0.0001752488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008743278,0.00002604861,0.9990236,0.000004702876,0.00003742227,0.00004306123,0.00004124526,0.0000310446,0.0001793794,0.00001818964,0.00007865856,0.0004292626],"study_design_scores_gemma":[0.00000693657,0.00008101945,0.9992422,0.000005818649,0.00002529404,0.0001875322,0.00008124067,0.0001308563,0.0000375506,0.00004314561,0.0001557069,0.000002774883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983407,0.0001334136,0.000185508,0.0000656263,0.000007728536,0.00001651374,0.0008674688,0.00000600445,0.0003768755],"genre_scores_gemma":[0.9991735,0.00004155097,0.00007709938,0.00002890943,0.00001230434,0.00001978553,0.0005089783,0.000002781257,0.0001351667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004337565,"threshold_uncertainty_score":0.008624673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05561871749022997,"score_gpt":0.3951452859033851,"score_spread":0.3395265684131551,"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."}}