{"id":"W2471888145","doi":"10.5430/jha.v5n5p10","title":"A review of biomedical and health informatics education: A workforce training framework","year":2016,"lang":"en","type":"review","venue":"Journal of Hospital Administration","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health informatics; Health Administration Informatics; Informatics; Public health informatics; Engineering informatics; Business informatics; Workforce; Health care; Accreditation; Health information technology; Medical education; Knowledge management; Preparedness; Medicine; Computer science; Nursing; Health policy; Engineering; HRHIS; Political science; Public health","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":[0.006319204,0.001330174,0.001695791,0.01468682,0.0009626307,0.003394319,0.001831648,0.003235742,0.003673078],"category_scores_gemma":[0.0139012,0.0006032208,0.001231486,0.01514548,0.001718924,0.004617722,0.002171903,0.002796593,0.001075331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005109663,"about_ca_system_score_gemma":0.01665327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007058042,"about_ca_topic_score_gemma":0.0112486,"domain_scores_codex":[0.9951637,0.001804379,0.001085257,0.0004560309,0.001272709,0.0002179952],"domain_scores_gemma":[0.9831976,0.01133879,0.001842136,0.0002153795,0.002895879,0.0005101821],"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":[0.00004178335,0.0001116102,0.0007911134,0.1087401,0.0001708155,0.000211865,0.000928407,0.000627451,0.0003529713,0.01768362,0.04673264,0.8236076],"study_design_scores_gemma":[0.00001464054,0.0001129388,0.003727739,0.2144406,0.0002666232,0.0006813445,0.001061984,0.0002068343,0.0001808135,0.006164755,0.7731031,0.00003866339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000103841,0.9952231,0.0004285549,0.002753992,0.0004373359,0.00001365512,0.00002679516,0.000006831322,0.001005919],"genre_scores_gemma":[0.001342193,0.9957455,0.0008670822,0.001390587,0.0004100055,0.00003555074,0.00003884644,0.000003276864,0.0001670115],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01468682,"threshold_uncertainty_score":0.03707343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1364596233863265,"score_gpt":0.5332046411657612,"score_spread":0.3967450177794347,"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."}}