{"id":"W2416086449","doi":"10.13162/hro-ors.v4i2.2463","title":"A Portrait of Electronic Medical Record Use in Primary Care Across Canada","year":2016,"lang":"en","type":"article","venue":"Health Reform Observer - Observatoire des Réformes de Santé","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Portrait; Primary care; Electronic medical record; Medical record; Medicine; History; Genealogy; Family medicine; Art history; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004881806,0.0006845458,0.001848688,0.0001362133,0.001018428,0.00001479698,0.001040795,0.0009271025,0.0002758778],"category_scores_gemma":[0.0008390237,0.0004815909,0.0002357706,0.001072533,0.0002747519,0.0009538436,0.0003642242,0.002056117,0.00003308821],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0536052,"about_ca_system_score_gemma":0.07172924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8944451,"about_ca_topic_score_gemma":0.9947937,"domain_scores_codex":[0.9858646,0.001552483,0.004005598,0.0009512112,0.001605623,0.006020451],"domain_scores_gemma":[0.9937325,0.001351686,0.001558958,0.001265493,0.000611332,0.001480004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003532084,0.00008419436,0.8164496,0.007917305,0.00004823021,0.00005782801,0.003395601,7.507415e-7,0.00002511671,0.0004549979,0.001189377,0.1700238],"study_design_scores_gemma":[0.003410913,0.0006028105,0.8909996,0.006506515,0.000009678813,0.00004586439,0.004000069,0.00005447205,0.00003154693,0.0002160398,0.09359526,0.0005272302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868733,0.005748647,0.0001415447,0.002468643,0.000860357,0.002384192,0.0003862898,0.0001892624,0.0009477627],"genre_scores_gemma":[0.9810855,0.006044797,0.0006430204,0.009648059,0.0003792933,0.0006288884,0.0001621503,0.0001843016,0.001223921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1694966,"threshold_uncertainty_score":0.9997635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0495245948028713,"score_gpt":0.3785681274666623,"score_spread":0.329043532663791,"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."}}