{"id":"W2946696922","doi":"10.1503/cmaj.71858","title":"The future of electronic medical records in Canada","year":2019,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mandate; Amazon rainforest; Electronic records; Medical record; Electronic medical record; World Wide Web; Computer science; Data science; Internet privacy; Medicine; Political science; Law; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01245536,0.0004932675,0.0006854333,0.002800463,0.01717988,0.01659548,0.00355488,0.01898337,0.0238366],"category_scores_gemma":[0.03969457,0.0007099602,0.0009170163,0.004550443,0.00833773,0.006585797,0.004536112,0.01336437,0.003520239],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.173126,"about_ca_system_score_gemma":0.4595461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9798867,"about_ca_topic_score_gemma":0.9878127,"domain_scores_codex":[0.9789814,0.001627614,0.001018376,0.001334447,0.0120116,0.005026572],"domain_scores_gemma":[0.9129403,0.01298872,0.002571542,0.001374793,0.03966708,0.03045761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005657731,0.00005075602,0.003793298,0.000246699,0.00001735725,0.0005424594,0.001075405,0.0002341158,0.0002325524,0.03912527,0.8991382,0.0554873],"study_design_scores_gemma":[0.00006764865,0.0000398199,0.01031257,0.0009972772,0.00002779755,0.0003514671,0.002292547,0.000710626,0.0001420679,0.008808405,0.9761345,0.0001153113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001381582,0.006076843,0.0001547673,0.9722353,0.002450076,0.00002213607,0.0003173313,0.00005800931,0.01730395],"genre_scores_gemma":[0.06904197,0.03557946,0.003118416,0.816298,0.005693093,0.0000818443,0.0009750325,0.00013313,0.06907906],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.826874,"threshold_uncertainty_score":0.9590567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009422262897464173,"score_gpt":0.312124844131168,"score_spread":0.3027025812337039,"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."}}