{"id":"W3121022355","doi":"10.1016/j.chaos.2021.110655","title":"Assessing the role of quarantine and isolation as control strategies for COVID-19 outbreak: A case study","year":2021,"lang":"en","type":"article","venue":"Chaos Solitons & Fractals","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Quarantine; Coronavirus disease 2019 (COVID-19); Isolation (microbiology); Social distance; Outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Invariant (physics); 2019-20 coronavirus outbreak; Nonlinear system; Virology; Epidemic model; Basic reproduction number; Ordinary differential equation; Mathematics; Computer science; Biology; Demography; Infectious disease (medical specialty); Sociology; Medicine; Physics; Differential equation; Microbiology; Mathematical analysis; Disease; 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":[0.001747822,0.0002325212,0.0007120402,0.00004680105,0.0005065367,0.0001473332,0.0001260923,0.0001107441,0.00003963814],"category_scores_gemma":[0.01396523,0.0001551941,0.0001508685,0.0001659269,0.0001860889,0.0002469742,0.0001323887,0.0001706133,0.000001927346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006179161,"about_ca_system_score_gemma":0.0003147965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173441,"about_ca_topic_score_gemma":0.0005252484,"domain_scores_codex":[0.9979165,0.0005010837,0.0006740718,0.0003941401,0.0001934326,0.0003207749],"domain_scores_gemma":[0.983729,0.01507941,0.0004248337,0.0004090835,0.0002477305,0.0001099534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007651736,0.006570226,0.5155049,0.003227911,0.004054902,0.002763468,0.1116773,0.001068894,0.04756078,0.2831507,0.002613712,0.02104194],"study_design_scores_gemma":[0.003980225,0.0006264378,0.008687269,0.00008587507,0.0008155368,0.0007668373,0.3675987,0.01157863,0.0008580922,0.600131,0.004338109,0.0005333096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614639,0.001361629,0.03181961,0.003430692,0.00006732355,0.001342735,0.00005138002,0.00008107491,0.000381627],"genre_scores_gemma":[0.9975132,0.00002108136,0.001123197,0.0009270099,0.0001290427,0.00022788,0.000004051034,0.0000208744,0.00003366074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5068176,"threshold_uncertainty_score":0.9943405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2069952337184429,"score_gpt":0.4881081080474647,"score_spread":0.2811128743290219,"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."}}