{"id":"W2254990639","doi":"10.1097/phh.0000000000000304","title":"Characterizing Informatics Roles and Needs of Public Health Workers","year":2015,"lang":"en","type":"article","venue":"Journal of Public Health Management and Practice","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gibson Energy (Canada)","funders":"Agency for Healthcare Research and Quality; Health Services Research and Development; de Beaumont Foundation; U.S. Public Health Service; Centers for Disease Control and Prevention; U.S. Department of Veterans Affairs","keywords":"Public health informatics; Workforce; Public health; Health informatics; Informatics; Health information technology; Agency (philosophy); Medicine; Job satisfaction; Descriptive statistics; Medical education; Public relations; Business; Health promotion; Nursing; HRHIS; Psychology; Health care; Political science; Sociology; Statistics; Mathematics","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":[0.002842743,0.0002197488,0.0001349172,0.001351231,0.0006129987,0.0007250693,0.0005710345,0.0005081199,0.001453242],"category_scores_gemma":[0.008067145,0.000215423,0.0001883429,0.0006971954,0.0004203708,0.0008867659,0.001761311,0.0004851392,0.0003197116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000771509,"about_ca_system_score_gemma":0.002603941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006086071,"about_ca_topic_score_gemma":0.008139783,"domain_scores_codex":[0.9988268,0.0002816123,0.0001065758,0.0001345956,0.0002575653,0.0003928608],"domain_scores_gemma":[0.9954169,0.001059647,0.001761676,0.0001881364,0.0007710121,0.000802754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002825116,0.00008668126,0.9881127,0.00003797108,0.000004821344,0.00005580706,0.004427529,0.00005042388,0.0005239737,0.00006050761,0.0003607149,0.006250578],"study_design_scores_gemma":[0.000003220707,0.00008116714,0.9869648,0.00002243061,0.000002130335,0.00007943541,0.01190116,0.0001437453,0.0001256499,0.00005302991,0.0006202993,0.000002924996],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985071,0.00004121761,0.0001055891,0.000266383,0.000003500771,0.00002957515,0.0001978707,0.000002991502,0.0008457993],"genre_scores_gemma":[0.999018,0.00007242967,0.0002565887,0.00009131125,0.000008392743,0.00006869135,0.0002738182,0.000001395763,0.0002094631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006086071,"threshold_uncertainty_score":0.01503402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2679785245953285,"score_gpt":0.4871231099688264,"score_spread":0.2191445853734978,"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."}}