{"id":"W3185970827","doi":"10.1038/s41598-021-94663-x","title":"Benchmarking the Covid-19 pandemic across countries and states in the USA under heterogeneous testing","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Imperial Bank of Commerce (Canada)","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Fondo Nacional de Desarrollo Científico y Tecnológico; Agencia Nacional de Investigación y Desarrollo; Centro de Desarrollo Urbano Sustentable","keywords":"Benchmarking; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Data science; Computer science; Biology; Medicine; Business; Outbreak; Pathology","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":[0.0196557,0.0003302358,0.0005300756,0.001387655,0.0005261598,0.00159746,0.0008483342,0.0006883318,0.001334225],"category_scores_gemma":[0.06572016,0.0002325557,0.000781043,0.002817817,0.001000721,0.0030946,0.0019943,0.001386441,0.0001828906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002270127,"about_ca_system_score_gemma":0.001961517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06435683,"about_ca_topic_score_gemma":0.08717453,"domain_scores_codex":[0.9859656,0.01019776,0.0004933543,0.001202585,0.001081177,0.001059534],"domain_scores_gemma":[0.9558545,0.02542647,0.00729168,0.004304409,0.005671311,0.001451551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002436889,0.0001686854,0.9307329,0.00007328292,0.0003597139,0.0001290773,0.000828496,0.02436323,0.0002961656,0.003616519,0.004941062,0.03424717],"study_design_scores_gemma":[0.00002862542,0.0004052925,0.9450468,0.00009428069,0.0001448538,0.0001523041,0.004546031,0.03833696,0.0008344415,0.006259636,0.004089328,0.00006153431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801222,0.0004466816,0.006819027,0.004127021,0.00007161383,0.00007584927,0.002183357,0.00006797619,0.006086325],"genre_scores_gemma":[0.9955353,0.0001261602,0.002080746,0.0004662632,0.00002813686,0.0000368223,0.001451581,0.00001810278,0.0002569208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06435683,"threshold_uncertainty_score":0.1279645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3252349752841879,"score_gpt":0.4450127514970672,"score_spread":0.1197777762128793,"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."}}