{"id":"W3132261879","doi":"10.1108/he-11-2020-0109","title":"The role of digital technology in providing education, training, continuing professional development and support to the rural health workforce","year":2021,"lang":"en","type":"article","venue":"Health Education","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CINAHL; Workforce; Professional development; Workforce development; Knowledge translation; Digital health; Empowerment; Rural health; Medical education; Medicine; Nursing; Public relations; Rural area; Health care; Knowledge management; Political science; Psychological intervention; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01303019,0.0003028224,0.0005767511,0.004415084,0.001849753,0.009910586,0.0008676374,0.002087673,0.005494716],"category_scores_gemma":[0.03398244,0.0002481522,0.0004232468,0.006188528,0.00519683,0.008706453,0.005774949,0.001663167,0.00073857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003288317,"about_ca_system_score_gemma":0.01014724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005814566,"about_ca_topic_score_gemma":0.006973755,"domain_scores_codex":[0.9894156,0.006757653,0.0007704521,0.0004553669,0.002057058,0.000543872],"domain_scores_gemma":[0.9398345,0.05324433,0.002848851,0.0007418811,0.002128939,0.001201453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009431917,0.0001252163,0.004583505,0.04894559,0.0001369004,0.0008092162,0.02016918,0.0004374629,0.001192452,0.07190375,0.009196362,0.8424061],"study_design_scores_gemma":[0.00007311667,0.0006092594,0.01948745,0.1468074,0.0003624739,0.001945661,0.0483781,0.0004387238,0.001311784,0.05678658,0.7236953,0.0001041934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03747924,0.7940144,0.004075459,0.04506987,0.001229708,0.0002885521,0.000177851,0.00003760952,0.1176274],"genre_scores_gemma":[0.2820012,0.6965044,0.01003589,0.005629721,0.0008136684,0.000355425,0.00008567851,0.00001893594,0.004554991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01303019,"threshold_uncertainty_score":0.06891102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0337248849025204,"score_gpt":0.4305231162495682,"score_spread":0.3967982313470478,"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."}}