{"id":"W4353002908","doi":"10.52933/jdssv.v2i7.46","title":"A Spatial SEIR Model for COVID-19 in South Africa","year":2022,"lang":"en","type":"article","venue":"Journal of Data Science Statistics and Visualisation","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Center for High Performance Computing; National Research Foundation; International Development Research Centre","keywords":"Coronavirus disease 2019 (COVID-19); Geography; Context (archaeology); Vulnerability (computing); Socioeconomic status; Psychological intervention; Econometrics; Infectious disease (medical specialty); Environmental health; Computer science; Disease; Medicine; Mathematics; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007106637,0.00007864075,0.000238667,0.0001806925,0.0004518983,0.00005088536,0.0004763663,0.0000164857,0.00001953015],"category_scores_gemma":[0.02253184,0.00006231743,0.00001812545,0.0002740519,0.0002038995,0.0003517005,0.0005110279,0.0001397713,1.301763e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002714302,"about_ca_system_score_gemma":0.0006186034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000434759,"about_ca_topic_score_gemma":0.00006164355,"domain_scores_codex":[0.9984211,0.0001119786,0.0005398561,0.0002323172,0.0005007803,0.0001940011],"domain_scores_gemma":[0.9967082,0.00229883,0.0005423639,0.0001862974,0.0001364323,0.0001279418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009698244,0.001013865,0.02162404,0.0006724048,0.00008180537,0.00005678325,0.09396113,0.03009252,0.001246619,0.7617856,0.06370287,0.0247925],"study_design_scores_gemma":[0.0004882265,0.0002222045,0.0008671972,0.000005206249,0.0000221803,0.000005137198,0.001232886,0.7318628,0.000001625663,0.26338,0.001838293,0.00007416615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0190192,0.00004178128,0.9775783,0.0007418668,0.00008158285,0.0001913043,0.002331688,0.000005328948,0.000008940112],"genre_scores_gemma":[0.851298,0.00002223111,0.1481553,0.0004220379,0.0000454479,0.000009837233,0.00002914485,0.000004805315,0.0000131743],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8322788,"threshold_uncertainty_score":0.9857018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5796472677540995,"score_gpt":0.5319713933174229,"score_spread":0.04767587443667654,"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."}}