{"id":"W3038239314","doi":"10.3390/jrfm13090194","title":"Assessment of Epidemiological Determinants of COVID-19 Pandemic Related to Social and Economic Factors Globally","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demography; Case fatality rate; Population; Confidence interval; Multinomial logistic regression; Epidemiology; Pandemic; Logistic regression; Medicine; Coronavirus disease 2019 (COVID-19); Statistics; Internal medicine; Mathematics; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002091562,0.0001806939,0.001105296,0.00007903539,0.0001087152,0.000007655016,0.0002038408,0.0001212059,0.00001873364],"category_scores_gemma":[0.00562984,0.0001249935,0.000183124,0.0001141077,0.0001453201,0.00004999597,0.0003689421,0.0002186119,5.452349e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467795,"about_ca_system_score_gemma":0.00006100367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009156133,"about_ca_topic_score_gemma":0.00005655774,"domain_scores_codex":[0.9978635,0.0002709177,0.001264533,0.0002243651,0.0001758673,0.0002008092],"domain_scores_gemma":[0.9968401,0.001640641,0.001175617,0.00007902389,0.00004721784,0.0002174301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001424717,0.00005875051,0.9708894,0.0002644327,0.00006974435,0.0000207421,0.0007750919,0.0001259003,0.0000131896,0.01631425,0.001155908,0.01017016],"study_design_scores_gemma":[0.0008171897,0.0006266565,0.9327123,0.00003974929,0.0001777151,0.000004412608,0.0004005416,0.0001505167,0.000003268233,0.06018073,0.004762122,0.0001248361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983486,0.0002154181,0.01488222,0.0009106633,0.00008479317,0.0002547935,0.0000515157,0.00001116549,0.0001034199],"genre_scores_gemma":[0.991798,0.00208318,0.005448056,0.0006008356,0.00005528175,0.000002905746,3.819362e-7,0.00000618503,0.000005194124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04386649,"threshold_uncertainty_score":0.6739851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1953445075404442,"score_gpt":0.4325301573272337,"score_spread":0.2371856497867894,"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."}}