{"id":"W4206401741","doi":"10.1093/trstmh/trac004","title":"Decomposition of socioeconomic inequalities in arboviral diseases in Brazil and Colombia (2007–2017)","year":2022,"lang":"en","type":"article","venue":"Transactions of the Royal Society of Tropical Medicine and Hygiene","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Chikungunya; Socioeconomic status; Dengue fever; Inequality; Latin Americans; Geography; Demography; Distribution (mathematics); Socioeconomics; Environmental health; Medicine; Political science; Population; Virology; Sociology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007374953,0.0003825657,0.0002761363,0.002177284,0.0003681298,0.0009609762,0.0003339919,0.0001378402,0.001644796],"category_scores_gemma":[0.002739182,0.0001147927,0.0005642925,0.002318935,0.0002433363,0.0003295722,0.001001603,0.0003149924,0.0001014849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002255211,"about_ca_system_score_gemma":0.001093492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2546155,"about_ca_topic_score_gemma":0.2286135,"domain_scores_codex":[0.9994931,0.0001033393,0.00005345269,0.00009885911,0.0001043856,0.000146801],"domain_scores_gemma":[0.9988574,0.0001688967,0.0004475722,0.00007752091,0.0003214746,0.0001271003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003265402,0.00001056111,0.9925603,0.00005691727,0.0001260975,0.00004648164,0.0003777797,0.0003656339,0.0001318427,0.0003887618,0.0007884869,0.005114456],"study_design_scores_gemma":[0.000001754399,0.000008212979,0.9964617,0.00003935874,0.00002801013,0.00003553095,0.0007983107,0.0009651881,0.00006630766,0.000110227,0.001480484,0.000004968201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721282,0.001344354,0.001114575,0.0005817619,0.00001993427,0.00005880665,0.01938837,0.00002942168,0.005334666],"genre_scores_gemma":[0.9944935,0.0002224868,0.0004726569,0.00002469453,0.000008388105,0.0000295884,0.004534982,0.000004069726,0.0002096139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2546155,"threshold_uncertainty_score":0.506267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180096799034844,"score_gpt":0.2750208389202194,"score_spread":0.263219870929871,"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."}}