{"id":"W3013186573","doi":"10.7554/elife.57309","title":"SARS-CoV-2 (COVID-19) by the numbers","year":2020,"lang":"en","type":"article","venue":"eLife","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1058,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; Azrieli Foundation; Weizmann Institute of Science","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Virology; Biology; Host (biology); Virus; Medicine; Genetics; Infectious disease (medical specialty); Outbreak; Disease; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001287328,0.001091276,0.0004953275,0.003819415,0.0008511568,0.003883419,0.0008135337,0.001292602,0.1986711],"category_scores_gemma":[0.01854381,0.0003911352,0.0006680052,0.005670779,0.0008752884,0.003771382,0.00186279,0.00224436,0.06323456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090894,"about_ca_system_score_gemma":0.001676543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008617519,"about_ca_topic_score_gemma":0.01257939,"domain_scores_codex":[0.9989917,0.000312246,0.00008133346,0.0001675998,0.0003717074,0.00007542322],"domain_scores_gemma":[0.9939668,0.003152241,0.0007708139,0.0003186793,0.001413675,0.0003777927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001118205,0.000006709315,0.0008319641,0.0009402338,0.00002182555,0.00008434976,0.0003655401,0.0001958533,0.0002323817,0.01596694,0.9331987,0.04804369],"study_design_scores_gemma":[0.0000169653,0.00001196571,0.001812044,0.0005613654,0.0000128013,0.00008634166,0.0002701361,0.0001168735,0.0001687384,0.005086333,0.99184,0.00001633673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009911543,0.03649243,0.02405424,0.1514015,0.05068976,0.0003567585,0.2737645,0.01381371,0.4395156],"genre_scores_gemma":[0.1625956,0.08227658,0.08730715,0.03284148,0.01809873,0.001171566,0.1202228,0.01507581,0.4804103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1986711,"threshold_uncertainty_score":0.6646209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5040271832720847,"score_gpt":0.4837340449647469,"score_spread":0.02029313830733787,"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."}}