{"id":"W7162854695","doi":"10.2196/81355","title":"Use of Electronic Patient Record Systems for Rapid Response to an MHRA Public Assessment Report: Retrospective Observational Study (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Observational study; Patient record; Retrospective cohort study; Patient safety; Public health; Patient assessment; Electronic health record; Medical record","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":[],"consensus_categories":[],"category_scores_codex":[0.005133006,0.0005053874,0.0005385877,0.00249201,0.001262658,0.001896816,0.0006779892,0.001250509,0.003130608],"category_scores_gemma":[0.02710551,0.0010257,0.001359385,0.00252249,0.001021834,0.002708016,0.001447669,0.002118502,0.001026667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162139,"about_ca_system_score_gemma":0.00215002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388344,"about_ca_topic_score_gemma":0.008426246,"domain_scores_codex":[0.9935049,0.002423031,0.001533874,0.0007967188,0.001006952,0.0007345761],"domain_scores_gemma":[0.9682667,0.009804522,0.01413748,0.002351045,0.003568718,0.001871436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002881325,0.0004084075,0.9974056,0.00003290888,0.00007560793,0.00005619653,0.0006828188,0.00001426273,0.00008931787,0.00001611932,0.0001353698,0.0007952324],"study_design_scores_gemma":[0.00005790448,0.002035749,0.9906248,0.00005988437,0.000135742,0.0003644683,0.005880566,0.0002127193,0.0001615699,0.00003742972,0.0003947201,0.00003446155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984333,0.0001183197,0.0001335401,0.00004514243,0.00000808186,0.0000950849,0.0007167032,0.000006218013,0.0004436154],"genre_scores_gemma":[0.9983349,0.0001671894,0.0002325572,0.0001261157,0.00001835409,0.0001113952,0.0007779485,0.000008925009,0.0002226018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01388344,"threshold_uncertainty_score":0.02760524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3403304632167407,"score_gpt":0.5804080478681365,"score_spread":0.2400775846513958,"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."}}