{"id":"W3153983075","doi":"10.1016/j.idm.2021.04.001","title":"Nonpharmaceutical interventions contribute to the control of COVID-19 in China based on a pairwise model","year":2021,"lang":"en","type":"article","venue":"Infectious Disease Modelling","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; York University","funders":"Shanxi University; National Natural Science Foundation of China","keywords":"Quarantine; Outbreak; Coronavirus disease 2019 (COVID-19); China; Pairwise comparison; Basic reproduction number; Contact tracing; Isolation (microbiology); Geography; Psychological intervention; Demography; Beijing; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Statistics; Environmental health; Medicine; Biology; Mathematics; Disease; Infectious disease (medical specialty); Virology; Population; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001490813,0.0002403584,0.0005556121,0.0001313316,0.0002115797,0.00002727262,0.0001955905,0.00007507618,0.00007853773],"category_scores_gemma":[0.01165301,0.0001776828,0.0005126622,0.0004084038,0.00008707192,0.00004177985,0.0001204912,0.0003303421,0.00001325764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004038854,"about_ca_system_score_gemma":0.0003596373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001121553,"about_ca_topic_score_gemma":0.0002191705,"domain_scores_codex":[0.9975137,0.000619132,0.0007075336,0.0004489337,0.0003090448,0.000401729],"domain_scores_gemma":[0.9945341,0.004209077,0.000154159,0.0004907689,0.0001522826,0.000459601],"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":[0.0002899008,0.0009163471,0.008318583,0.0003715396,0.00006409318,0.00004886609,0.0001947259,0.9710539,0.00001110995,0.0181542,0.000446359,0.0001303668],"study_design_scores_gemma":[0.001647741,0.00005960508,0.0004100825,0.0001890083,0.0001671241,7.859051e-7,0.00001655723,0.8781897,0.00001443233,0.1188676,0.0002713115,0.000165993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08515716,0.0003540232,0.8999904,0.01316516,0.00007242906,0.000771729,0.0002236125,0.0001247434,0.0001406941],"genre_scores_gemma":[0.9906761,0.00004191231,0.001021102,0.007838845,0.00004640764,0.0003135164,0.000008919454,0.00002286551,0.00003032672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9055189,"threshold_uncertainty_score":0.9966723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2393642772929434,"score_gpt":0.4452496396531586,"score_spread":0.2058853623602151,"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."}}