{"id":"W2071282762","doi":"10.3201/eid1807.120055","title":"Electronic Event–based Surveillance for Monitoring Dengue, Latin America","year":2012,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Sante Montreal","funders":"U.S. National Library of Medicine; Audrey and Theodor Geisel School of Medicine at Dartmouth; National Institutes of Health; Dartmouth College","keywords":"Dengue fever; Latin Americans; Electronic surveillance; Event (particle physics); Geography; Computer science; Computer security; Environmental health; Virology; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002101194,0.000311358,0.0004574144,0.000181431,0.0002337733,0.0000321752,0.0001256497,0.00005983061,0.0002030136],"category_scores_gemma":[0.0008297215,0.0003161323,0.0003231691,0.0004470253,0.00007301343,0.0002104533,0.00004687867,0.0001754521,0.0000986818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303071,"about_ca_system_score_gemma":0.0002452718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000594124,"about_ca_topic_score_gemma":0.00001157986,"domain_scores_codex":[0.9977728,0.0001056323,0.0003499116,0.0003954055,0.0003481021,0.001028181],"domain_scores_gemma":[0.9982827,0.0003100192,0.0001850725,0.0005509179,0.0001726539,0.0004986043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001393693,0.000544179,0.9862787,0.0002145043,0.0001579268,0.000004582086,0.00004186508,0.0005509033,0.0004227253,0.00006775011,0.003134116,0.008443421],"study_design_scores_gemma":[0.00226477,0.000206308,0.9139445,0.000115041,0.0002142493,0.00000865111,0.00004497334,0.001567972,0.0004719043,0.00006628502,0.08064617,0.0004491546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750408,0.007216956,0.01209324,0.0002832114,0.001334277,0.001206829,0.0004444506,0.001411985,0.0009682847],"genre_scores_gemma":[0.9969882,0.0001155275,0.0002541267,0.0003044226,0.001288171,0.0003481166,0.0004051406,0.00009078167,0.0002054988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07751206,"threshold_uncertainty_score":0.9999291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091218329583128,"score_gpt":0.2982654745810686,"score_spread":0.2873532912852373,"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."}}