{"id":"W2945470204","doi":"10.1097/nna.0000000000000760","title":"Informatics Competencies for Nurse Leaders","year":2019,"lang":"en","type":"article","venue":"JONA The Journal of Nursing Administration","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; Multiple Sclerosis Society of Canada; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Informatics; Health informatics; Suite; Health Administration Informatics; Knowledge management; Core competency; Identification (biology); Engineering informatics; Medical education; Nursing; Medicine; Psychology; Computer science; Political science; Business","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":[0.009890538,0.0002487691,0.0003386004,0.001676318,0.001329316,0.002512416,0.0006408793,0.001058667,0.00553014],"category_scores_gemma":[0.0306737,0.0001870709,0.0003692311,0.0007611971,0.0008628729,0.002571291,0.004028981,0.002094255,0.001132609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001931519,"about_ca_system_score_gemma":0.02516413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001534355,"about_ca_topic_score_gemma":0.005037923,"domain_scores_codex":[0.9959358,0.002046028,0.000350822,0.0001428491,0.001216711,0.0003078327],"domain_scores_gemma":[0.9780681,0.009172698,0.002267024,0.0006964468,0.006029395,0.003766425],"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":[0.00004683588,0.0003756219,0.015216,0.005992603,0.00004197368,0.0003884121,0.009173699,0.0002536786,0.001278429,0.0229375,0.1112942,0.833001],"study_design_scores_gemma":[0.0001008417,0.0005361285,0.04499099,0.03388922,0.0001122738,0.002335946,0.0302878,0.0006447595,0.002556418,0.03016364,0.8543168,0.00006519399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1316321,0.1177937,0.03939603,0.2756467,0.01106736,0.003005368,0.0009256228,0.0006095254,0.4199235],"genre_scores_gemma":[0.6926422,0.08438261,0.1393531,0.0399374,0.002390388,0.003494625,0.001048695,0.00007987748,0.03667102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009890538,"threshold_uncertainty_score":0.05230683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1248868376645496,"score_gpt":0.4832508434085985,"score_spread":0.3583640057440489,"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."}}