{"id":"W6901904486","doi":"10.60692/ejqdm-sgx06","title":"Assessing the reporting of Dengue, Chikungunya and Zika to the National Surveillance System in Colombia from 2014–2017: A Capture-recapture analysis accounting for misclassification of arboviral diagnostics","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut National de Santé Publique du Québec; McGill University","funders":"","keywords":"Dengue fever; Under-reporting; Chikungunya; Estimation; Public health; Poisson regression; Public health surveillance; Epidemiologic Surveillance","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":[0.006590705,0.0007820291,0.0005337897,0.001528733,0.0005027024,0.001326946,0.00136237,0.0004275579,0.001193462],"category_scores_gemma":[0.01821752,0.0004632617,0.001343881,0.001509311,0.0005553362,0.0006027363,0.001035051,0.0007229577,0.0001512643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002945865,"about_ca_system_score_gemma":0.0017233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2728138,"about_ca_topic_score_gemma":0.1859286,"domain_scores_codex":[0.99568,0.001890453,0.0005550263,0.001020775,0.0003762171,0.0004774595],"domain_scores_gemma":[0.9852083,0.00514825,0.006415003,0.001284615,0.001476275,0.0004675946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005346772,0.00001840128,0.9963552,0.00005119686,0.0002366473,0.00004937167,0.0002395542,0.000637714,0.00005073474,0.00005517559,0.0002637703,0.001988711],"study_design_scores_gemma":[0.000007614698,0.0000662922,0.9906171,0.00007064108,0.0002248489,0.0001579882,0.0008786647,0.007228809,0.0001219375,0.00003972318,0.0005650082,0.00002130658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927718,0.0008050086,0.001567904,0.0002130769,0.00002293505,0.00008993148,0.004022495,0.00002851345,0.000478374],"genre_scores_gemma":[0.9962147,0.0002151852,0.0007371285,0.00003690601,0.000009693002,0.00003756533,0.00261374,0.000005474421,0.0001296111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2728138,"threshold_uncertainty_score":0.5424517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0803450759094504,"score_gpt":0.317541670267628,"score_spread":0.2371965943581776,"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."}}