{"id":"W4225507139","doi":"10.1016/j.annepidem.2022.04.006","title":"SARS-CoV-2 transmission potential and rural-urban disease burden disparities across Alabama, Louisiana, and Mississippi, March 2020 — May 2021","year":2022,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Medicine; Demography; Incidence (geometry); Transmission (telecommunications); Per capita; Rural area; Pandemic; Population; Environmental health; Coronavirus disease 2019 (COVID-19); Psychological intervention; Socioeconomics; Gerontology; Disease","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":[0.0005227291,0.00018936,0.0001655702,0.0005888133,0.0009772275,0.0008226634,0.0004349148,0.0004069847,0.002879829],"category_scores_gemma":[0.001432257,0.0001886916,0.0002807321,0.001101051,0.000236798,0.0005375023,0.0007489606,0.0006825097,0.0003645461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951181,"about_ca_system_score_gemma":0.003157762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4101424,"about_ca_topic_score_gemma":0.6276112,"domain_scores_codex":[0.9997082,0.00005298322,0.00001992371,0.00006554526,0.00004182166,0.0001115304],"domain_scores_gemma":[0.9992054,0.00005921258,0.0002049128,0.00003239662,0.0002638016,0.0002343266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001544175,0.00006832314,0.9882053,0.00002134223,0.00008126234,0.00004117033,0.0004220511,0.0001094735,0.0001674141,0.0001416678,0.006888298,0.003699235],"study_design_scores_gemma":[0.000008517594,0.00002237501,0.9962643,0.00002045378,0.0000212712,0.00002487097,0.001277924,0.0001371908,0.00003980257,0.00006004309,0.0021188,0.000004487464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829865,0.0004187179,0.0001789439,0.002161903,0.00005401469,0.00002938482,0.01146036,0.00001953752,0.002690728],"genre_scores_gemma":[0.9901996,0.0002348419,0.0001759305,0.0005786674,0.00004474762,0.00006129892,0.005575734,0.00000880565,0.00312024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4101424,"threshold_uncertainty_score":0.8155102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2402495542620942,"score_gpt":0.4624042558212034,"score_spread":0.2221547015591092,"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."}}