{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01641461,0.0006560436,0.0005910799,0.001155706,0.0007234538,0.000902647,0.001103852,0.0007772512,0.0005451745],"category_scores_gemma":[0.03981142,0.0003729677,0.0009044627,0.0008539944,0.001066686,0.0005641524,0.0008935474,0.0007111341,0.0002383042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002091319,"about_ca_system_score_gemma":0.004017762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06911537,"about_ca_topic_score_gemma":0.06841052,"domain_scores_codex":[0.989273,0.005583731,0.0007257432,0.001161794,0.002736907,0.0005187335],"domain_scores_gemma":[0.9635447,0.0175969,0.004610972,0.004859787,0.00852248,0.000865078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004484669,0.0002853896,0.9951976,0.00003262079,0.0001659975,0.00003741148,0.0002300242,0.0003703182,0.0004100966,0.0000159083,0.0001457448,0.002660508],"study_design_scores_gemma":[0.0001741445,0.0008548498,0.9948657,0.00002258773,0.0001065632,0.0001783179,0.0001148386,0.002576897,0.0007949324,0.0000257852,0.0002742226,0.00001117012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997867,0.00008181953,0.0008421337,0.00004660051,0.000006840239,0.0003052555,0.0005574313,0.00001486394,0.0002779521],"genre_scores_gemma":[0.9956053,0.00005011084,0.002053847,0.00007161267,0.00001321603,0.000159231,0.00195094,0.000004853744,0.00009094259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9308846,"threshold_uncertainty_score":0.1374261,"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."}}