{"id":"W4283210342","doi":"10.21203/rs.3.rs-1516063/v10","title":"Rapid epidemic expansion of the SARS-CoV-2 Omicron BA.2 subvariant during China’s largest outbreaks","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; University of Pretoria","keywords":"Outbreak; China; Coronavirus disease 2019 (COVID-19); Quarantine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Isolation (microbiology); Epidemic model; Pandemic; 2019-20 coronavirus outbreak; Virology; Incidence (geometry); Demography; Geography; Biology; Medicine; Infectious disease (medical specialty); Environmental health; Mathematics; Disease; Microbiology; Sociology; Internal medicine; Ecology; Population","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":[0.000705918,0.0002157048,0.000257722,0.0009622387,0.0003632171,0.0004861898,0.0003034492,0.000184203,0.0009879161],"category_scores_gemma":[0.001063601,0.0001093289,0.0002462657,0.0008532347,0.0003449523,0.0004231556,0.0004071809,0.0002347369,0.00008688472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006912124,"about_ca_system_score_gemma":0.0006648917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01844091,"about_ca_topic_score_gemma":0.01211102,"domain_scores_codex":[0.9996856,0.00006491604,0.00001666661,0.00007770604,0.00006720729,0.000087819],"domain_scores_gemma":[0.9993949,0.00008593666,0.0002213928,0.00007463124,0.0001323642,0.00009076902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002346871,0.00006485671,0.9585304,0.00007115737,0.00009522161,0.0006371024,0.0007403712,0.007866025,0.01113786,0.003327701,0.001850714,0.01544407],"study_design_scores_gemma":[0.000005691021,0.00004760546,0.9867856,0.0000067953,0.00001812422,0.0001327486,0.0003495018,0.009973438,0.0009036424,0.0008604856,0.0009043847,0.00001209728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980265,0.0001524531,0.0006935397,0.000162226,0.000007396568,0.000007367513,0.0002137338,0.000007518766,0.0007292114],"genre_scores_gemma":[0.9993974,0.00005129347,0.0001310285,0.00001573985,0.00001108819,0.000002986003,0.0001819386,0.000001405431,0.0002070382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01844091,"threshold_uncertainty_score":0.03666711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3545404060652712,"score_gpt":0.4959676646921801,"score_spread":0.1414272586269089,"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."}}