{"id":"W4360601282","doi":"10.1097/01.naj.0000925432.32700.db","title":"Preparing Nurses to Use Electronic Health Records","year":2023,"lang":"en","type":"article","venue":"AJN American Journal of Nursing","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kimberly-Clark (Canada)","funders":"","keywords":"Documentation; Health records; Nursing documentation; Nursing records; Nursing; Psychology; MEDLINE; Medical education; Medicine; Nursing care; Health care; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02363453,0.0006233479,0.0005646131,0.003052598,0.002948912,0.00556965,0.002904951,0.003057994,0.03412665],"category_scores_gemma":[0.1262875,0.0007156142,0.0007530787,0.002003339,0.0007196777,0.007499407,0.00442129,0.002968997,0.01365422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002601029,"about_ca_system_score_gemma":0.02469766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007948417,"about_ca_topic_score_gemma":0.02971452,"domain_scores_codex":[0.9854528,0.006914169,0.001917985,0.0006470437,0.004031001,0.001036935],"domain_scores_gemma":[0.8739059,0.03518379,0.02085791,0.01095725,0.04177009,0.01732508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000126341,0.004051826,0.03648407,0.001053467,0.00003391345,0.0002717089,0.001718644,0.000693291,0.001090875,0.001528532,0.1468585,0.8060888],"study_design_scores_gemma":[0.0009458672,0.002802821,0.2613012,0.01373908,0.0001548945,0.002496635,0.0265632,0.003238138,0.01288225,0.01181763,0.6634338,0.0006245186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2620499,0.01443671,0.1189695,0.3782841,0.01990599,0.009897288,0.002032596,0.009886402,0.1845376],"genre_scores_gemma":[0.4122375,0.0265221,0.3897374,0.05835443,0.005462557,0.004647696,0.003686686,0.001128452,0.09822315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03412665,"threshold_uncertainty_score":0.1249928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721135176212451,"score_gpt":0.3849252754061932,"score_spread":0.3577139236440687,"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."}}