{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002009454,0.0002811948,0.0001974802,0.001102076,0.0001824125,0.0005776046,0.0004582819,0.0002066598,0.001200738],"category_scores_gemma":[0.00587722,0.0001041633,0.0001931307,0.001054119,0.0001349693,0.0005790901,0.0005534672,0.0001700331,0.0001360114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006552465,"about_ca_system_score_gemma":0.0005811811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01127953,"about_ca_topic_score_gemma":0.01048935,"domain_scores_codex":[0.9991505,0.0005299471,0.00007187583,0.00008969197,0.0001197018,0.00003827919],"domain_scores_gemma":[0.9981688,0.000729444,0.0003655076,0.0001984278,0.000462588,0.0000750915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006712151,0.0005446228,0.7062722,0.0005102808,0.000228005,0.0001951793,0.0007035196,0.0201271,0.01020355,0.002441084,0.005247533,0.2528556],"study_design_scores_gemma":[0.0004933496,0.001495416,0.6899609,0.0005744077,0.0004406277,0.0005665612,0.003042957,0.2387776,0.01652993,0.004510298,0.04350094,0.000107001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9024818,0.003502077,0.05574035,0.002315228,0.0001545481,0.001294822,0.01055593,0.0007912215,0.02316394],"genre_scores_gemma":[0.9603999,0.0009721873,0.03429645,0.0002449017,0.0000467092,0.0004691731,0.002577787,0.00001903908,0.000973866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01127953,"threshold_uncertainty_score":0.02242774,"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."}}