{"id":"W2950093054","doi":"10.1177/0272989x18824098","title":"Development and Validation of the Evaluation Platform in COPD (EPIC): A Population-Based Outcomes Model of COPD for Canada","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; Statistics Canada; University of British Columbia","funders":"Canadian Institutes of Health Research; University of Ottawa","keywords":"COPD; Medicine; Population; Comorbidity; Internal validity; EPIC; External validity; Intensive care medicine; Environmental health; Internal medicine; Statistics","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":[0.003851094,0.0008018787,0.0005516073,0.001140316,0.001221833,0.001544173,0.002956913,0.0007800715,0.004282273],"category_scores_gemma":[0.01242546,0.0003913986,0.00112794,0.001345921,0.000771269,0.0005535057,0.001467422,0.00147731,0.0004091874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02735159,"about_ca_system_score_gemma":0.06765252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9661517,"about_ca_topic_score_gemma":0.9401485,"domain_scores_codex":[0.9988089,0.0004279889,0.00005515777,0.0001499612,0.0003582132,0.0001999635],"domain_scores_gemma":[0.9944243,0.001536993,0.0002847979,0.0001824493,0.003047861,0.0005235857],"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":[0.0002097749,0.00009829119,0.02969099,0.0001200518,0.0001202181,0.0001077617,0.000176206,0.9288149,0.0001524934,0.0130739,0.01419965,0.01323574],"study_design_scores_gemma":[0.0001530401,0.00004191416,0.007580671,0.00007077106,0.0000569267,0.00002482297,0.0001094139,0.9792234,0.00014877,0.003775989,0.008766365,0.00004793677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4913742,0.001463196,0.3363985,0.01240228,0.0005819759,0.003626069,0.08939449,0.003527085,0.06123236],"genre_scores_gemma":[0.8464403,0.0007812395,0.1213194,0.0006923841,0.00005430676,0.001290455,0.02257016,0.0003136593,0.006538007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03384835,"threshold_uncertainty_score":0.1984506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05696532586295661,"score_gpt":0.3671592186248106,"score_spread":0.310193892761854,"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."}}