{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011889,0.0001015698,0.0003068444,0.0001324058,0.00004413412,0.000005250387,0.0001297909,0.00008615977,0.0002265316],"category_scores_gemma":[0.002440992,0.00006991662,0.00005242027,0.0002018448,0.00003918912,0.00005365312,0.0000765739,0.000125866,6.849019e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006702851,"about_ca_system_score_gemma":0.00297833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003288138,"about_ca_topic_score_gemma":0.01968206,"domain_scores_codex":[0.9968076,0.00004335172,0.000569118,0.0002199623,0.002186863,0.0001730994],"domain_scores_gemma":[0.9983875,0.0008333492,0.0001683808,0.0002454217,0.0002691295,0.00009617372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00041245,0.000103399,0.7941286,0.0005008698,0.00002751997,0.000002251869,0.0001570774,0.009514528,0.0001507552,0.0004594429,0.0001099547,0.1944332],"study_design_scores_gemma":[0.002053385,0.00001381953,0.527558,0.0005481993,0.00001964764,9.409153e-7,0.00005888238,0.4683492,0.000398983,0.0009010995,0.0000500055,0.00004783374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994823,0.0000852293,0.003139767,0.0004471361,0.0001350292,0.001238787,0.00001802942,0.000004008449,0.0001089828],"genre_scores_gemma":[0.9946684,0.00000132849,0.005018163,0.0001635506,0.00001065078,0.0000449627,0.00004251812,0.00001167497,0.00003877657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4588347,"threshold_uncertainty_score":0.9982062,"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."}}