{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003796016,0.0003505744,0.0002476299,0.001151563,0.0006450274,0.0006602191,0.0002880998,0.0003965659,0.001269201],"category_scores_gemma":[0.00174769,0.0003738653,0.000381305,0.0009942377,0.0004278937,0.0003271386,0.0006620577,0.0004888966,0.0001008073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004810413,"about_ca_system_score_gemma":0.0005022939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02591099,"about_ca_topic_score_gemma":0.03822857,"domain_scores_codex":[0.9996419,0.0001079753,0.00004572444,0.00007651308,0.00004665403,0.00008110189],"domain_scores_gemma":[0.9991218,0.0001724631,0.0003891545,0.00009929682,0.00009985158,0.0001174519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009547225,0.000036262,0.9973989,0.00002112424,0.00004167605,0.0004934377,0.00048281,0.00005415599,0.0005629589,0.00003765021,0.00005681857,0.0007187293],"study_design_scores_gemma":[0.00000590846,0.00005306656,0.9977158,0.00001438271,0.00002420517,0.0002656812,0.001437272,0.0001395259,0.000126947,0.00001449268,0.0001969426,0.000005771282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996959,0.00005061073,0.00002091188,0.00001926897,0.000002712113,0.000006510671,0.00006352011,5.03221e-7,0.0001401669],"genre_scores_gemma":[0.9997301,0.00005393236,0.00003678748,0.000007760087,0.000002684015,0.000005246203,0.0000846515,4.85335e-7,0.00007830082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02591099,"threshold_uncertainty_score":0.05152029,"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."}}