{"id":"W4280613122","doi":"10.21203/rs.3.rs-1516063/v4","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":1,"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); Epidemic model; Pandemic; Isolation (microbiology); Virology; 2019-20 coronavirus outbreak; Demography; Geography; Medicine; Biology; Infectious disease (medical specialty); Environmental health; Disease; Microbiology; Sociology; Internal medicine; Population; Ecology","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":[0.0006586937,0.0001938051,0.0002499838,0.0008870008,0.0003333109,0.0004875712,0.0003105063,0.00019938,0.000989791],"category_scores_gemma":[0.001014254,0.00009962641,0.0002133104,0.0007904954,0.0003459674,0.000423006,0.0003679678,0.0002306857,0.00009372954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006972509,"about_ca_system_score_gemma":0.0006613614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01794578,"about_ca_topic_score_gemma":0.01139155,"domain_scores_codex":[0.9996885,0.00006399896,0.00001610247,0.00007960699,0.00006562447,0.00008616849],"domain_scores_gemma":[0.9994492,0.00008377686,0.0002001793,0.00006674886,0.000115024,0.00008512277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002267422,0.0000655352,0.9589066,0.00006362572,0.00008520649,0.0006008921,0.0006621213,0.007791599,0.01059236,0.003356931,0.002021556,0.01562688],"study_design_scores_gemma":[0.000005319722,0.00004871083,0.9854088,0.000006814165,0.00001675353,0.0001258703,0.0003690843,0.01138422,0.000870681,0.0007964926,0.0009558498,0.00001134477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980527,0.0001423807,0.0006285841,0.0001868777,0.000007511581,0.000006374479,0.0002221019,0.000007752937,0.000745789],"genre_scores_gemma":[0.9994265,0.00004791798,0.0001149232,0.00001547492,0.00001060243,0.000002477322,0.0001770569,0.000001203061,0.0002038847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01794578,"threshold_uncertainty_score":0.03568262,"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."}}