{"id":"W4411614506","doi":"10.3390/risks13070119","title":"Copula Modeling of COVID-19 Excess Mortality","year":2025,"lang":"en","type":"article","venue":"Risks","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of St. Thomas","keywords":"Coronavirus disease 2019 (COVID-19); Copula (linguistics); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Econometrics; Excess mortality; Mathematics; Virology; Medicine; Mortality rate; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002999,0.0007101586,0.0007739725,0.001009338,0.0003366001,0.001254712,0.001304827,0.0007538329,0.002302449],"category_scores_gemma":[0.01048634,0.0003970337,0.001153541,0.001034062,0.0005188645,0.001053356,0.0009408717,0.001226469,0.0003536506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006889467,"about_ca_system_score_gemma":0.0008314882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009993722,"about_ca_topic_score_gemma":0.004924536,"domain_scores_codex":[0.9990651,0.000479687,0.00004190387,0.000190902,0.0001057824,0.0001166756],"domain_scores_gemma":[0.9968569,0.001991289,0.0004763913,0.0001904703,0.0003816451,0.0001031719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003606275,0.00003486201,0.008263413,0.00006047813,0.0001873849,0.0002799778,0.0002401391,0.8924274,0.000911951,0.07979008,0.001552496,0.01621573],"study_design_scores_gemma":[0.000002835548,0.00001392481,0.001439225,0.000009482876,0.00001563426,0.00003026168,0.00002780074,0.9886457,0.000120131,0.009114085,0.0005719291,0.000009191548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09237721,0.0005292924,0.9012928,0.0004274184,0.00007041977,0.00007750912,0.0005114811,0.0001970678,0.004516771],"genre_scores_gemma":[0.9242622,0.0008462821,0.06678866,0.0001199065,0.00008267761,0.0002259579,0.0006009583,0.0001362635,0.006937047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009993722,"threshold_uncertainty_score":0.01987112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6494676109673875,"score_gpt":0.5705657263117371,"score_spread":0.0789018846556504,"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."}}