{"id":"W2607431720","doi":"10.23889/ijpds.v1i1.232","title":"Chronic Disease Case Definitions for Electronic Medical Records: A Canadian Validation Study","year":2017,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health; University of Manitoba","funders":"","keywords":"Medicine; Medical record; COPD; Medical prescription; Cohort; Depression (economics); Medical diagnosis; Diagnosis code; Population; Prescription drug; Family medicine; Cohort study; Emergency medicine; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001651986,0.0001202587,0.0001295674,0.0004325598,0.001787581,0.001009662,0.00158921,0.00003057724,0.0002929548],"category_scores_gemma":[0.004108138,0.0001129707,0.00007436619,0.00009942851,0.0001659311,0.002365464,0.0002383295,0.0001549145,0.00001038953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329748,"about_ca_system_score_gemma":0.005110087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01101098,"about_ca_topic_score_gemma":0.07348384,"domain_scores_codex":[0.9977051,0.00001872956,0.00038169,0.0004376527,0.001050488,0.0004063234],"domain_scores_gemma":[0.9975133,0.00006519584,0.0002969598,0.0008420618,0.0006167375,0.0006657789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001848316,0.002327326,0.4196111,0.0003006965,0.001545028,0.009919397,0.0004024147,0.001260993,0.00008872789,0.2641033,0.03905911,0.2595336],"study_design_scores_gemma":[0.01393737,0.001237978,0.6140401,0.0005654813,0.001083966,0.005067601,0.0009063165,0.2525219,0.00001814996,0.03320405,0.07664824,0.0007688889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9292138,0.0001985804,0.01950711,0.0353426,0.007124792,0.004042355,0.00280195,0.00008721458,0.001681618],"genre_scores_gemma":[0.996226,0.0000599931,0.0004807645,0.0001800731,0.001283786,0.00008471341,0.001475808,0.00001464198,0.000194239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2587647,"threshold_uncertainty_score":0.999512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1941695374442076,"score_gpt":0.4717277100829821,"score_spread":0.2775581726387745,"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."}}