{"id":"W2984801351","doi":"","title":"Data quality in electronic medical records in Manitoba: Do problem lists reflect chronic disease as defined by prescriptions?","year":2017,"lang":"en","type":"article","venue":"PubMed","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health; McMaster University Medical Centre; University of Manitoba","funders":"","keywords":"Medicine; Medical prescription; Medical record; Documentation; Remuneration; Family medicine; Quality management; Service (business); Computer science; Nursing; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02094656,0.0002876384,0.0006081,0.004570691,0.001137503,0.001882552,0.001591821,0.0005317106,0.001037145],"category_scores_gemma":[0.1292913,0.0004524414,0.0004501343,0.01364525,0.001112369,0.001613152,0.002054112,0.0006119058,0.0001860907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006428185,"about_ca_system_score_gemma":0.009978241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3071025,"about_ca_topic_score_gemma":0.386389,"domain_scores_codex":[0.9786131,0.00896365,0.003623912,0.001286101,0.006581244,0.0009319463],"domain_scores_gemma":[0.8321053,0.06454749,0.06760436,0.008707611,0.0244911,0.002544135],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002325776,0.00001094577,0.9952604,0.0001049954,0.00005551409,0.00002090018,0.0003937031,0.00008718621,0.00004273839,0.00005010423,0.0002978121,0.003652472],"study_design_scores_gemma":[0.000004313234,0.00002357524,0.9980488,0.0001187842,0.00003157889,0.00005238727,0.0006206083,0.0003932532,0.00006508153,0.00004211692,0.0005949067,0.000004605108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790059,0.003820186,0.002982737,0.003533844,0.00004855168,0.0002632538,0.008010226,0.00005952541,0.002275767],"genre_scores_gemma":[0.9924316,0.0008004465,0.002524287,0.0005019005,0.00003557776,0.00009763839,0.003358819,0.00001157358,0.0002381582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9790534,"threshold_uncertainty_score":0.6106299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1751192935811779,"score_gpt":0.4707822445511964,"score_spread":0.2956629509700185,"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."}}