{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007187643,0.0001402959,0.0003142994,0.00005460666,0.0001528413,0.0000248,0.0002885101,0.00002631421,0.00001862723],"category_scores_gemma":[0.0001247457,0.00009027463,0.0002164629,0.0007342622,0.002202776,0.0000633334,0.0001652672,0.0002530073,0.000002398303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003134561,"about_ca_system_score_gemma":0.0001765684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002090228,"about_ca_topic_score_gemma":0.000006844324,"domain_scores_codex":[0.9985098,0.000189238,0.0002768239,0.0002514977,0.0004847826,0.0002878154],"domain_scores_gemma":[0.9987146,0.0001993389,0.0002536521,0.0004673188,0.0002857896,0.00007927191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001866862,0.0001182413,0.9688165,0.00006758397,0.00009444522,0.000004764963,0.0006419883,4.800976e-7,0.0006000105,0.00005453426,0.002166679,0.02724813],"study_design_scores_gemma":[0.00018035,0.0000771319,0.9950523,0.00007179623,0.00004907226,0.00002970313,0.001054082,0.002388348,0.0003712203,0.0002420933,0.000394146,0.00008977616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993904,0.0003465514,0.00007481363,0.00499165,0.00005534293,0.0004016973,0.00005683603,0.0000166374,0.0001524918],"genre_scores_gemma":[0.9950709,0.0002643763,0.0005376347,0.003840878,0.0002144082,0.00001650208,0.0000208474,0.00001591875,0.00001856305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02715835,"threshold_uncertainty_score":0.8116221,"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."}}