{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002524649,0.0001368745,0.0004395923,0.0001992854,0.0001582027,0.0001764465,0.0001241485,0.0001081696,0.000002579186],"category_scores_gemma":[0.002554431,0.00009241049,0.000109039,0.0005926889,0.00002302665,0.0003394864,0.00004144228,0.00009050165,0.000002315775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001185206,"about_ca_system_score_gemma":0.00007936116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001086218,"about_ca_topic_score_gemma":0.00006712479,"domain_scores_codex":[0.9970532,0.0001554937,0.002051952,0.0001602445,0.0004417701,0.0001373476],"domain_scores_gemma":[0.9949628,0.00047833,0.003245426,0.0002964606,0.0009882388,0.000028725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001951794,0.00000650071,0.9560412,0.0009301602,0.0001944714,6.790374e-7,0.03390815,0.006123412,0.00003637291,0.002124334,0.0004002725,0.0002149651],"study_design_scores_gemma":[0.0003348055,0.00000493809,0.8496065,0.000302061,0.0001689728,0.00001068194,0.01508708,0.1340598,0.0002273817,0.00002233676,0.00006570914,0.0001097834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.936159,0.00002727301,0.06220673,0.0001889029,0.0001698491,0.0006159976,0.0002961082,0.00002981531,0.0003063367],"genre_scores_gemma":[0.9959324,3.370641e-7,0.003699547,0.00003981212,0.00006996128,0.00007854558,0.0001586673,0.000008443795,0.00001227822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1279364,"threshold_uncertainty_score":0.376839,"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."}}