{"id":"W2899966501","doi":"10.1055/s-0038-1675210","title":"An Evidence-Based Tool for Safe Configuration of Electronic Health Records: The eSafety Checklist","year":2018,"lang":"en","type":"letter","venue":"Applied Clinical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Alberta Health Services","funders":"","keywords":"Checklist; Health records; Computer science; Electronic health record; Data science; Health information technology; Medicine; World Wide Web; Health care; Psychology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.02388735,0.0006769712,0.002210899,0.0001814624,0.001322802,0.00004718557,0.001548455,0.002927493,0.0003414355],"category_scores_gemma":[0.002456639,0.0004852377,0.0004819258,0.0004249773,0.0006114402,0.0003376025,0.0000956085,0.008082096,0.0005417073],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524469,"about_ca_system_score_gemma":0.01873381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003200757,"about_ca_topic_score_gemma":0.0003908638,"domain_scores_codex":[0.9831222,0.002414542,0.01035225,0.0005516253,0.001031927,0.002527459],"domain_scores_gemma":[0.9674113,0.02044118,0.008439736,0.002382907,0.001049852,0.0002750426],"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":[0.0004390249,0.00007003751,0.0001892466,0.007623776,0.0001160048,2.024652e-7,0.001071389,0.00001249153,0.000001612515,0.004124828,0.968922,0.01742944],"study_design_scores_gemma":[0.001870815,0.002573536,0.0001603112,0.001723278,0.0001182093,0.000001131068,0.0006303351,0.004195315,0.00001262457,0.001321055,0.9869114,0.0004819882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001802982,0.0005928107,0.1650126,0.7854166,0.006173169,0.0319918,0.0006262457,0.0004607166,0.007923082],"genre_scores_gemma":[0.007957352,0.001014901,0.004345706,0.9654724,0.0138235,0.003422768,0.002185735,0.0001766916,0.001600941],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1800558,"threshold_uncertainty_score":0.9999774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1571575280093754,"score_gpt":0.4935226895164685,"score_spread":0.3363651615070932,"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."}}