{"id":"W2527864898","doi":"10.1183/13993003.01141-2016","title":"Excess medical costs in patients with asthma and the role of comorbidity","year":2016,"lang":"en","type":"article","venue":"European Respiratory Journal","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; Hospital for Sick Children; University of British Columbia; BC Centre for Disease Control; Providence Health Care; Centre for Advancing Health Outcomes","funders":"Canadian Lung Association; Reseau canadien de recherche respiratoire; Canadian Thoracic Society; Institute of Circulatory and Respiratory Health; Michael Smith Health Research BC; GlaxoSmithKline; British Columbia Lung Association; Canadian Institutes of Health Research; AstraZeneca Canada; AstraZeneca","keywords":"Comorbidity; Asthma; Medicine; National Comorbidity Survey; Cohort; Disease burden; Cohort study; Disease; Pediatrics; Psychiatry; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001629147,0.00017087,0.0005581793,0.001339459,0.0005211376,0.001310455,0.0002891868,0.0004046379,0.001140391],"category_scores_gemma":[0.01512908,0.0002107004,0.0008348448,0.002502661,0.0003586053,0.000709404,0.000931403,0.0007364163,0.00007312942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450268,"about_ca_system_score_gemma":0.0009895132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02008616,"about_ca_topic_score_gemma":0.0247865,"domain_scores_codex":[0.9981592,0.0007725783,0.0002663423,0.0001853196,0.0003680105,0.000248562],"domain_scores_gemma":[0.9942636,0.001829858,0.002678411,0.0003156365,0.0003704145,0.0005421055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008160837,0.0000197952,0.9948742,0.00002016219,0.0001634857,0.00009386762,0.00002932144,0.0007189335,0.00001913686,0.0003786581,0.0001503506,0.003450535],"study_design_scores_gemma":[0.00000847514,0.00003378199,0.9963949,0.00003503533,0.00007839565,0.0002773441,0.0001110298,0.002091903,0.00002187987,0.000678575,0.0002613899,0.000007120338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960634,0.001610479,0.000340853,0.0006084381,0.00001535846,0.00001129614,0.0005680129,0.000002471443,0.0007797858],"genre_scores_gemma":[0.9989552,0.0004339495,0.000133518,0.00004623663,0.00001966714,0.000004822766,0.0003556663,9.61904e-7,0.00004990849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02008616,"threshold_uncertainty_score":0.03993851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088474669386147,"score_gpt":0.3404672864145847,"score_spread":0.23161981947597,"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."}}