{"id":"W2911982698","doi":"10.1503/cmaj.180841","title":"Using electronic health records for clinical trials: Where do we stand and where can we go?","year":2019,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health records; Electronic health record; Computer science; Key (lock); Data science; Health data; World Wide Web; Data mining; Health care; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2976951,0.001952487,0.006221622,0.00987958,0.004072218,0.0259148,0.006784616,0.02208784,0.04661166],"category_scores_gemma":[0.628129,0.00202859,0.003338159,0.01540575,0.01028159,0.04268151,0.008428621,0.02278776,0.01806654],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01085787,"about_ca_system_score_gemma":0.04890808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01183951,"about_ca_topic_score_gemma":0.02124209,"domain_scores_codex":[0.7308676,0.1904083,0.03701099,0.006419283,0.03214198,0.003151794],"domain_scores_gemma":[0.1664879,0.6546354,0.04179738,0.0203531,0.09655143,0.02017489],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008820077,0.0001314398,0.002739596,0.02410786,0.000515179,0.0001596016,0.0008279819,0.0003283646,0.0002045872,0.03447354,0.4709278,0.4647022],"study_design_scores_gemma":[0.0009255402,0.0005201352,0.00562866,0.213537,0.0009938051,0.0005457498,0.002559608,0.001356652,0.0003449589,0.13021,0.6428369,0.0005410397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0002190956,0.1473871,0.003140304,0.8298604,0.01232394,0.0002999312,0.0006390575,0.0001689607,0.005961079],"genre_scores_gemma":[0.01402165,0.5181674,0.04502007,0.3409924,0.07321534,0.001798983,0.001470057,0.0006436767,0.00467043],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9891421,"threshold_uncertainty_score":0.8660669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1579759512906265,"score_gpt":0.5142897031455863,"score_spread":0.3563137518549598,"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."}}