{"id":"W3135631171","doi":"10.4236/ojs.2021.112014","title":"Predictors of the Aggregate of COVID-19 Cases and Its Case-Fatality: A Global Investigation Involving 120 Countries","year":2021,"lang":"en","type":"article","venue":"Open Journal of Statistics","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Case fatality rate; Pandemic; Medicine; Negative binomial distribution; Coronavirus disease 2019 (COVID-19); Demography; Population; Regression analysis; Disease; Environmental health; Statistics; Infectious disease (medical specialty); Internal medicine; Mathematics","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":[0.002220586,0.0005986856,0.0007887381,0.002467444,0.0003342499,0.0009668064,0.000497835,0.0004475039,0.001215206],"category_scores_gemma":[0.004710972,0.0003651899,0.001585412,0.00399746,0.0005301698,0.0009145631,0.001130241,0.0008054947,0.0002889771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004068517,"about_ca_system_score_gemma":0.0003788168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006326403,"about_ca_topic_score_gemma":0.003144381,"domain_scores_codex":[0.9987011,0.0004645786,0.000170672,0.0003542999,0.0001625138,0.0001468183],"domain_scores_gemma":[0.9955623,0.001317939,0.002058801,0.0003449895,0.0004333215,0.0002826793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007427928,0.00001259185,0.9965256,0.00005316409,0.000221806,0.00007699023,0.0001067685,0.0003506238,0.00004006275,0.00004489127,0.0002693497,0.00222383],"study_design_scores_gemma":[0.00000893016,0.00009382423,0.9958445,0.00006672037,0.0001760339,0.0004983726,0.0008148023,0.001365355,0.0000763354,0.0001060751,0.0009362634,0.00001262941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917961,0.003045966,0.0005161777,0.0001874439,0.00001474648,0.00002177168,0.003678317,0.00001816144,0.0007212057],"genre_scores_gemma":[0.9955746,0.001076518,0.0002193459,0.00003087601,0.00002128065,0.00001953393,0.002972724,0.000007987158,0.00007719131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006326403,"threshold_uncertainty_score":0.01257914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128099696541836,"score_gpt":0.4420111225663732,"score_spread":0.3292011529121897,"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."}}