{"id":"W3197261677","doi":"10.1016/j.ijid.2021.08.021","title":"Field Epidemiology Training Programs to accelerate public health workforce development and global health security","year":2021,"lang":"en","type":"editorial","venue":"International Journal of Infectious Diseases","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Health Organization","keywords":"Workforce; Public health; Training (meteorology); Epidemiology; Workforce development; Global health; Field (mathematics); Environmental health; Economic growth; Political science; Medicine; Business; Nursing; Geography; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001487526,0.0002913492,0.001042379,0.0004128068,0.000192456,0.0002147171,0.0002292697,0.0002695616,0.00007331981],"category_scores_gemma":[0.005225408,0.0002497769,0.0002859794,0.0003313379,0.00006816447,0.0001735609,0.0001903348,0.000975793,0.000006293281],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885356,"about_ca_system_score_gemma":0.008810517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003427844,"about_ca_topic_score_gemma":0.0004857132,"domain_scores_codex":[0.9964212,0.0003892233,0.001240781,0.0003685197,0.001004173,0.0005761209],"domain_scores_gemma":[0.9950371,0.0006704477,0.000852399,0.0001418621,0.002056442,0.001241784],"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":[0.0002540491,0.0005955853,0.02805698,0.0001775435,0.0008675935,0.0001844747,0.0006428386,0.000008833194,4.937698e-7,0.0002183262,0.4816687,0.4873246],"study_design_scores_gemma":[0.001596249,0.002676171,0.004491435,0.001498819,0.00004082481,0.0006843043,0.0003373586,0.00002050775,0.000002748454,0.0004367288,0.9879913,0.000223603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.07775299,0.01904609,0.01085058,0.07006229,0.8191124,0.001321013,0.0003860132,0.0001697922,0.001298855],"genre_scores_gemma":[0.4038459,0.005689193,0.001451092,0.01009454,0.5776373,0.00008399077,0.0008832042,0.00006602755,0.0002487308],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.5063226,"threshold_uncertainty_score":0.9999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0949433531127673,"score_gpt":0.4520261596781381,"score_spread":0.3570828065653708,"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."}}