{"id":"W2913217013","doi":"10.1097/phh.0000000000000918","title":"Public Health Informatics in Local and State Health Agencies: An Update From the Public Health Workforce Interests and Needs Survey","year":2019,"lang":"en","type":"article","venue":"Journal of Public Health Management and Practice","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gibson Energy (Canada)","funders":"","keywords":"Workforce; Public health; Public health informatics; Health informatics; Job satisfaction; Informatics; Workforce development; Descriptive statistics; Medicine; Health information technology; Business; Environmental health; Medical education; Nursing; Family medicine; Public relations; Health policy; Psychology; Health care; HRHIS; 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":[0.006477173,0.0004707757,0.0004296553,0.003765092,0.0006538483,0.0009618982,0.001011487,0.0005335489,0.001774352],"category_scores_gemma":[0.009762722,0.0005709148,0.000705205,0.005363388,0.0003275927,0.00139659,0.002513908,0.0009246235,0.0006642375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002110941,"about_ca_system_score_gemma":0.004157546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05321252,"about_ca_topic_score_gemma":0.08620766,"domain_scores_codex":[0.9970951,0.0007780961,0.0005971773,0.0002015198,0.0008790664,0.0004490035],"domain_scores_gemma":[0.9888933,0.002057818,0.003238319,0.0005302124,0.003941481,0.001338889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006032764,0.000218931,0.9718194,0.0003344842,0.00005085793,0.00005957894,0.00224922,0.0001148322,0.0002804821,0.0000818062,0.009770499,0.01495946],"study_design_scores_gemma":[0.00001282209,0.00006905594,0.987945,0.0001149826,0.00001423926,0.00004162774,0.004408982,0.0001365293,0.000116433,0.00002902041,0.007102794,0.000008447387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490643,0.0008303236,0.000890927,0.001398817,0.00008148677,0.001035761,0.04080285,0.00007698747,0.005818645],"genre_scores_gemma":[0.9193884,0.002044967,0.00332987,0.001123529,0.00009638772,0.004815093,0.06661563,0.00005241179,0.002533804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05321252,"threshold_uncertainty_score":0.1058056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.301825102547813,"score_gpt":0.4859019348582407,"score_spread":0.1840768323104277,"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."}}