{"id":"W2792567537","doi":"10.1093/jamia/ocy015","title":"Usage and accuracy of medication data from nationwide health information exchange in Quebec, Canada","year":2018,"lang":"en","type":"article","venue":"Journal of the American Medical Informatics Association","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; McGill University Health Centre; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Health information exchange; Medicine; Health data; Health information; Computer science; Family medicine; Health care; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003966267,0.0002707601,0.0003955935,0.002975472,0.001595965,0.002049301,0.001404616,0.0003854412,0.002589337],"category_scores_gemma":[0.02138256,0.0002279446,0.0003691783,0.01052572,0.0005387458,0.0009345533,0.0008869049,0.0005494014,0.000330635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0350163,"about_ca_system_score_gemma":0.03547933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914054,"about_ca_topic_score_gemma":0.9925644,"domain_scores_codex":[0.994373,0.0008791606,0.0006540916,0.000484702,0.003044997,0.0005640305],"domain_scores_gemma":[0.966076,0.00575011,0.007516577,0.001070039,0.01779711,0.00179022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001105924,0.00005165361,0.9589289,0.000209286,0.00008052418,0.00009186482,0.001312608,0.0003544514,0.0002247241,0.0001454803,0.004321944,0.0341679],"study_design_scores_gemma":[0.000005721489,0.00002484363,0.9950494,0.0001111789,0.00001639707,0.00004212014,0.0008759486,0.0007470499,0.0001237138,0.00001041279,0.002979665,0.00001348977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425951,0.003770036,0.001151068,0.003265603,0.00004412682,0.0002663242,0.03677773,0.0001353975,0.01199449],"genre_scores_gemma":[0.9861299,0.001320063,0.001415275,0.0005130314,0.00001953572,0.00006162644,0.008440814,0.00002180242,0.002077881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0350163,"threshold_uncertainty_score":0.2540622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03768428282205274,"score_gpt":0.4098755028515623,"score_spread":0.3721912200295096,"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."}}