{"id":"W3013180811","doi":"10.1101/2020.03.24.20042374","title":"What is required to prevent a second major outbreak of the novel coronavirus SARS-CoV-2 upon lifting the metropolitan-wide quarantine of Wuhan city, China","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Bill and Melinda Gates Foundation","keywords":"Quarantine; Coronavirus disease 2019 (COVID-19); Metropolitan area; Public health; Outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Contact tracing; China; 2019-20 coronavirus outbreak; Government (linguistics); Psychological intervention; Demography; Environmental health; Geography; Virology; Infectious disease (medical specialty); Sociology","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":[0.002017267,0.0006218867,0.0009798477,0.0003531693,0.0005034764,0.001572381,0.001046081,0.001315697,0.005580952],"category_scores_gemma":[0.0084078,0.000350119,0.001106274,0.000240312,0.0005496931,0.002486232,0.00102219,0.0009173917,0.0006044795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002790375,"about_ca_system_score_gemma":0.01026259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.053863,"about_ca_topic_score_gemma":0.03527161,"domain_scores_codex":[0.9986297,0.0004495262,0.00007738388,0.0001813527,0.0001957249,0.0004663931],"domain_scores_gemma":[0.9984145,0.0003769308,0.0004112625,0.00006749903,0.0003161721,0.0004137298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003555107,0.001579099,0.2753653,0.005722982,0.001894456,0.001989992,0.001311477,0.3970176,0.02417018,0.02159746,0.0448582,0.2209381],"study_design_scores_gemma":[0.0009676841,0.004427559,0.5092921,0.002266313,0.001583677,0.0008771092,0.008546689,0.3697323,0.009959072,0.03888063,0.05303251,0.0004343261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.889924,0.008536444,0.0260494,0.04766165,0.001414526,0.0006755624,0.004497283,0.0006754902,0.02056569],"genre_scores_gemma":[0.9899184,0.001413764,0.004270244,0.002106097,0.0001315542,0.0001531543,0.0009105119,0.00001751196,0.001078731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.053863,"threshold_uncertainty_score":0.1070989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2664698367538397,"score_gpt":0.4263581799180635,"score_spread":0.1598883431642238,"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."}}