{"id":"W105625610","doi":"10.24095/hpcdp.33.3.06","title":"Identifying cases of congestive heart failure from administrative data: a validation study using primary care patient records","year":2013,"lang":"en","type":"article","venue":"Chronic diseases and injuries in Canada","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":452,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Ottawa Hospital; Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Public Health Agency; Institute for Clinical Evaluative Sciences; Public Health Agency of Canada","keywords":"Medicine; Heart failure; Ambulatory; Medical record; Primary care; Ambulatory care; Cohort; Acute care; Population; Emergency medicine; Internal medicine; Family medicine; Health care","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00002560768,0.0001478019,0.0003212462,0.00005194974,0.0000657558,0.00003356043,0.00006282022,0.00002130046,0.0001680902],"category_scores_gemma":[0.00003956579,0.0001276797,0.00002239872,0.0000990949,0.00006897876,0.0002837649,0.0001554815,0.00006586955,7.556011e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070693,"about_ca_system_score_gemma":0.002539709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8349692,"about_ca_topic_score_gemma":0.7609261,"domain_scores_codex":[0.9989319,0.00005611453,0.0002855638,0.0003194032,0.0002372031,0.0001698539],"domain_scores_gemma":[0.9992533,0.00009524395,0.0000884451,0.0003474292,0.00008681809,0.000128709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001756392,0.0003741389,0.9680474,0.0006289557,0.0003604462,0.00018452,0.001736333,0.00001413691,0.0001071373,0.00001487885,0.01337965,0.01497678],"study_design_scores_gemma":[0.002583278,0.001828186,0.9070028,0.0008687397,0.0008143602,0.000006802557,0.07944397,0.0002318384,0.0005604276,0.00004429566,0.006288708,0.0003266141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950411,0.002666309,0.000004189536,0.0002877704,0.0001426008,0.001187425,0.000609891,0.000008732919,0.0000519354],"genre_scores_gemma":[0.9986119,0.00004510382,0.0004266482,0.00008557139,0.00005589421,0.00006246085,0.0006889441,0.00001097839,0.00001245414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07770764,"threshold_uncertainty_score":0.5206626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04035666004391712,"score_gpt":0.3103618467474326,"score_spread":0.2700051867035154,"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."}}