{"id":"W3134900186","doi":"10.1002/hec.4249","title":"Electronic medical records and primary care quality: Evidence from Manitoba","year":2021,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Medical record; Ambulatory care; Medicine; Quality (philosophy); Health care; Quality management; Family medicine; Electronic medical record; Primary care; Population health; Population; MEDLINE; Medical emergency; Environmental health; Business; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.007716011,0.0005756044,0.0008533156,0.006186531,0.001843322,0.00302239,0.002195268,0.0007906514,0.004373719],"category_scores_gemma":[0.03768539,0.0006438259,0.001395058,0.01850914,0.002033211,0.0006363107,0.002513458,0.001249306,0.0004097239],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03118685,"about_ca_system_score_gemma":0.06285942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9670773,"about_ca_topic_score_gemma":0.9774015,"domain_scores_codex":[0.9929059,0.002464917,0.0005065086,0.0005158341,0.002641943,0.0009649557],"domain_scores_gemma":[0.9546036,0.01548315,0.01190937,0.002153869,0.01266144,0.00318846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005197766,0.0003277624,0.9381512,0.002775349,0.00157472,0.0002377767,0.001547072,0.000472371,0.0001133493,0.001226137,0.005655018,0.04739939],"study_design_scores_gemma":[0.0001608567,0.0001436834,0.9881557,0.004094779,0.001240645,0.00008460666,0.001357066,0.0003344548,0.00006837446,0.0001755091,0.0041511,0.00003334667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7831963,0.1582396,0.0006122268,0.01607396,0.000462593,0.0004349208,0.01110021,0.00004431287,0.02983586],"genre_scores_gemma":[0.9177608,0.07452744,0.0007702922,0.002441078,0.0001504933,0.0001553981,0.002658432,0.0000215681,0.001514355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9688131,"threshold_uncertainty_score":0.2262775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111941115513618,"score_gpt":0.3277156525651286,"score_spread":0.2165215410137668,"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."}}