{"id":"W4223634248","doi":"10.2196/28965","title":"Current and Future Needs for Human Resources for Ethiopia’s National Health Information System: Survey and Forecasting Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"HRHIS; Human resources; Workforce; Health human resources; Business; Delphi method; Information system; Health policy; Public health informatics; Environmental health; Medicine; Public health; Political science; Nursing; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001839076,0.00008021906,0.0001827943,0.000136629,0.0004919086,0.00002364014,0.00004833991,0.00003978735,0.00001613402],"category_scores_gemma":[0.0002451681,0.0000679298,0.00002106008,0.0001280585,0.00002012512,0.00007587022,0.00003921209,0.0001915268,3.339358e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002063928,"about_ca_system_score_gemma":0.0009043132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003058068,"about_ca_topic_score_gemma":0.00006402253,"domain_scores_codex":[0.9986932,0.0001164336,0.0003727578,0.0001204129,0.0005450081,0.000152199],"domain_scores_gemma":[0.9992159,0.00009434488,0.0001820368,0.00005792271,0.0002135528,0.0002362276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001083997,0.001777356,0.5398316,0.01020535,0.00006977948,3.135054e-7,0.0478829,0.000002062566,0.00000256348,0.02053273,0.06220265,0.3164086],"study_design_scores_gemma":[0.002234817,0.001138364,0.8552899,0.0001541376,0.00001127055,0.00004902336,0.0245477,0.0004390921,1.532086e-7,0.0001851194,0.115871,0.00007945488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849564,0.0004778344,0.00005963273,0.01130186,0.0007309788,0.002267155,0.0000780783,0.00002915956,0.00009882701],"genre_scores_gemma":[0.9952757,0.00001905506,0.00008366276,0.002306415,0.0009496658,0.0008756091,0.0004452795,0.000006719794,0.00003792696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3163292,"threshold_uncertainty_score":0.3783413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03907756488716146,"score_gpt":0.3858697379897628,"score_spread":0.3467921731026013,"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."}}