{"id":"W3081363769","doi":"10.1371/journal.pone.0236559","title":"Understanding resource utilization and mortality in COPD to support policy making: A microsimulation study","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; McMaster University; Sunnybrook Hospital; University Health Network; SickKids Foundation; Toronto General Hospital; University of Toronto; Institute for Clinical Evaluative Sciences; University of British Columbia; Public Health Ontario; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Reseau canadien de recherche respiratoire; Canadian Lung Association","keywords":"COPD; Medicine; Psychological intervention; Microsimulation; Smoking cessation; Emergency department; Health care; Environmental health; Emergency medicine; Hazard ratio; Intensive care medicine; Confidence interval; Internal medicine; Psychiatry","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":[0.003761259,0.0006291856,0.0008439147,0.0007558077,0.0004150374,0.001387249,0.00114981,0.0009770854,0.002069711],"category_scores_gemma":[0.01430288,0.0004762777,0.001520274,0.0009087291,0.0007096021,0.001579408,0.001598545,0.001235184,0.0001271212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003954205,"about_ca_system_score_gemma":0.004272143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1059669,"about_ca_topic_score_gemma":0.05233129,"domain_scores_codex":[0.9988707,0.0007283947,0.00003703177,0.0001390535,0.0000616236,0.0001630968],"domain_scores_gemma":[0.9923323,0.006139512,0.0005299837,0.0003711903,0.0003349266,0.0002921517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001448272,0.0002646394,0.02958898,0.00005916809,0.0003785134,0.00008671017,0.0002006558,0.9399725,0.0002481083,0.02044151,0.001184665,0.007429666],"study_design_scores_gemma":[0.00002648054,0.00005449375,0.005991105,0.00001514851,0.00006222676,0.00001100897,0.0001001403,0.9842734,0.0001024508,0.00869439,0.0006537246,0.00001541732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210421,0.0007260942,0.06752364,0.004469492,0.00008352754,0.0001568164,0.001310861,0.0001212908,0.00456599],"genre_scores_gemma":[0.9870694,0.0002033471,0.01145806,0.0002213881,0.00003014585,0.0001258204,0.0003112538,0.00002584435,0.0005548266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1059669,"threshold_uncertainty_score":0.2107002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3131362628868449,"score_gpt":0.3910340544605484,"score_spread":0.07789779157370347,"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."}}