{"id":"W4392586023","doi":"10.26633/rpsp.2024.9","title":"Public health surveillance and the data, information, knowledge, intelligence and wisdom paradigm","year":2024,"lang":"en","type":"article","venue":"Revista Panamericana de Salud Pública","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Public health; Public health surveillance; Public relations; Health policy; Scope (computer science); Public health informatics; Health literacy; Political science; HRHIS; Medicine; Health care; Computer science; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006163706,0.0001956774,0.0004453067,0.0002154925,0.001033715,0.0002998014,0.0004792785,0.00009143964,0.000113358],"category_scores_gemma":[0.001611556,0.0001352236,0.00003135753,0.001141612,0.000564379,0.0006760257,0.0003353344,0.0006427796,0.0001618931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003296811,"about_ca_system_score_gemma":0.003940014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01088713,"about_ca_topic_score_gemma":0.0007857974,"domain_scores_codex":[0.9962125,0.001442933,0.0008931342,0.0003566451,0.0001998031,0.0008949894],"domain_scores_gemma":[0.9958969,0.002180144,0.0003002393,0.0008794026,0.0001403481,0.0006029642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000158659,0.00002154666,0.006461543,0.001827313,0.00005223732,4.441105e-7,0.02157374,8.772332e-7,1.501907e-7,0.3612575,0.3044122,0.3043766],"study_design_scores_gemma":[0.0001594458,0.00003171647,0.02032079,0.0001553565,0.000008049664,0.00001235281,0.003810147,0.008565649,1.360161e-8,0.000808096,0.9659954,0.0001329418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009236594,0.07721194,0.0300243,0.8656863,0.001352963,0.002732712,0.0005500841,0.0005132105,0.01269188],"genre_scores_gemma":[0.9311182,0.03624466,0.0006029794,0.02953183,0.001006894,0.0003060992,0.0004289547,0.0000433571,0.0007170424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9218816,"threshold_uncertainty_score":0.9956995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1464691749109455,"score_gpt":0.455713230557836,"score_spread":0.3092440556468905,"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."}}