{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00820027,0.00009732296,0.0004924356,0.0001649529,0.000215415,0.00001286963,0.0006586661,0.000114545,0.0000819943],"category_scores_gemma":[0.01587951,0.0000687737,0.00002578039,0.0004954975,0.00009795914,0.001036322,0.0002108543,0.0008543202,0.000007716006],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002561688,"about_ca_system_score_gemma":0.01157892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8024769,"about_ca_topic_score_gemma":0.9393525,"domain_scores_codex":[0.9941124,0.001006817,0.002725119,0.000055278,0.001744525,0.0003558671],"domain_scores_gemma":[0.9852886,0.002664817,0.01087636,0.000350613,0.0005813517,0.0002382164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001108214,0.0000680212,0.4008435,0.0008239064,0.0001615901,6.159544e-7,0.0387748,0.000006942832,0.00001178892,0.0001325627,0.3885319,0.1705336],"study_design_scores_gemma":[0.002297388,0.0002389333,0.7529406,0.001860716,0.0000393497,0.000004923616,0.01785108,0.02708969,0.00001577592,0.0002496022,0.1972328,0.0001792221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429263,0.0002114524,0.003180975,0.05048122,0.001792843,0.0006614879,0.0001291962,0.000009852381,0.0006066273],"genre_scores_gemma":[0.9799335,0.001271717,0.0008573431,0.01695712,0.0007523464,0.000009866837,0.00009870647,0.00001000542,0.0001093795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3520971,"threshold_uncertainty_score":0.9940245,"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."}}