{"id":"W2742221412","doi":"10.1016/b978-0-12-805362-1.00015-2","title":"Effectiveness of Training Strategies That Support Informatics Competency Development in Healthcare Professionals","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Mentorship; Health informatics; Informatics; Medical education; Health care; Workflow; Health Administration Informatics; Information and Communications Technology; Knowledge management; Professional development; Medicine; Computer science; Nursing; Engineering; World Wide Web; 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":[0.004517242,0.0004672392,0.0004340974,0.0004904369,0.0004636087,0.0009114702,0.0008716526,0.0009045748,0.007480032],"category_scores_gemma":[0.03342012,0.0002312578,0.0004021842,0.0002538171,0.0002858862,0.001020842,0.001528642,0.0008958043,0.0008324879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007847055,"about_ca_system_score_gemma":0.003218691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001289315,"about_ca_topic_score_gemma":0.002063234,"domain_scores_codex":[0.9977127,0.001279957,0.0001377073,0.0002254572,0.000426222,0.0002178386],"domain_scores_gemma":[0.9756802,0.01858086,0.001177998,0.0008634938,0.0009707882,0.002726564],"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":[0.005401677,0.02769662,0.01588373,0.001659618,0.0001348497,0.0001011944,0.004881824,0.001218203,0.002760873,0.0009151576,0.004836213,0.9345101],"study_design_scores_gemma":[0.01434956,0.1612097,0.6638733,0.01404735,0.002839315,0.001087342,0.02073256,0.01647074,0.03191325,0.007374374,0.06579124,0.0003113456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9794558,0.001698217,0.001244143,0.001352086,0.0002509205,0.0005234917,0.00009124177,0.0001359648,0.01524815],"genre_scores_gemma":[0.9841459,0.0015124,0.006441245,0.000655908,0.00008845718,0.0005297555,0.0001525156,0.00002385904,0.006449847],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007480032,"threshold_uncertainty_score":0.02502316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1534996139161444,"score_gpt":0.4604305437155301,"score_spread":0.3069309297993857,"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."}}