{"id":"W4307508681","doi":"10.1029/2021gh000520","title":"Association Between Weather Parameters and SARS‐CoV‐2 Confirmed Cases in Two South African Cities","year":2022,"lang":"en","type":"article","venue":"GeoHealth","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Particulates; Coronavirus disease 2019 (COVID-19); Cape; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Geography; Air pollution; Lag; Environmental science; Demography; Outbreak; Ecology; Medicine; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002141188,0.0001493907,0.0005253805,0.0000916167,0.0002929086,0.00001617774,0.00011239,0.00003363061,0.00005814956],"category_scores_gemma":[0.003954914,0.0001334613,0.00005368726,0.0002082995,0.00006135593,0.00003094834,0.0002201098,0.0003059978,0.000005373638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006645115,"about_ca_system_score_gemma":0.00006539352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006074619,"about_ca_topic_score_gemma":0.001827642,"domain_scores_codex":[0.9978499,0.0006928248,0.0004288948,0.0002983363,0.0002686267,0.0004614273],"domain_scores_gemma":[0.9927329,0.006698352,0.0003198019,0.000167013,0.00002436777,0.00005752415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003169999,0.00005005277,0.9843736,0.0000971792,0.00008541083,0.00001413269,0.006776215,0.00002640064,0.000006332707,0.002901605,0.004315264,0.001322072],"study_design_scores_gemma":[0.002433278,0.0006224059,0.7001357,0.00005287502,0.0001777487,0.000008411954,0.01508591,0.0002730044,0.00004274475,0.259224,0.02127609,0.0006677974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921188,0.0001789031,0.00009381325,0.006398946,0.00007033835,0.0004080245,0.0001434336,0.00008620835,0.0005015035],"genre_scores_gemma":[0.9968543,0.00003325678,0.0008524077,0.00179009,0.00005157571,0.0001230542,0.000008799125,0.00001518199,0.0002713195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2842379,"threshold_uncertainty_score":0.9183047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2961865761453742,"score_gpt":0.4364628924427497,"score_spread":0.1402763162973754,"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."}}