{"id":"W2541451795","doi":"10.9778/cmajo.20160128","title":"Validity of Canadian discharge abstract data for hypertension and diabetes from 2002 to 2013","year":2016,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Diabetes mellitus; Medicine; Database; Hospital discharge; Coding (social sciences); Predictive validity; Predictive value; Positive predicative value; Diagnosis code; Pharmacoepidemiology; Emergency medicine; Internal medicine; Population; Statistics; Endocrinology; Environmental health; Clinical psychology; Computer science; Medical prescription","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02526604,0.0005509657,0.0006957087,0.006411939,0.002333757,0.003210564,0.003316369,0.0006120644,0.001171899],"category_scores_gemma":[0.152659,0.0005806894,0.00126647,0.01238988,0.001269709,0.0008139341,0.002979618,0.0009639045,0.0002955649],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03120949,"about_ca_system_score_gemma":0.04720924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9597528,"about_ca_topic_score_gemma":0.9501584,"domain_scores_codex":[0.947804,0.005662505,0.005543788,0.004502153,0.03392881,0.002558814],"domain_scores_gemma":[0.870159,0.0184752,0.02934173,0.008478405,0.07024812,0.003297426],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00021927,0.00002323262,0.9830922,0.0001822276,0.0002808073,0.00004299261,0.0006611394,0.0005565425,0.0001000372,0.0002977058,0.005326594,0.009217285],"study_design_scores_gemma":[0.00001846572,0.00001662009,0.9930308,0.000190054,0.00008556109,0.00004210302,0.0003495893,0.001477105,0.000306333,0.0001058187,0.004352,0.00002554883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8239522,0.003625875,0.005948518,0.00309278,0.0004398056,0.0009069331,0.1433975,0.0002786485,0.01835765],"genre_scores_gemma":[0.942198,0.0006974795,0.00268812,0.0005499763,0.00005397187,0.0002241888,0.05267534,0.00003537294,0.0008775317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9747339,"threshold_uncertainty_score":0.2264417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5063681513547958,"score_gpt":0.4622307674597003,"score_spread":0.04413738389509553,"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."}}