{"id":"W3112133931","doi":"10.1017/s0950268820002988","title":"Quarantine and the risk of COVID-19 importation","year":2020,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Manitoba","funders":"","keywords":"Quarantine; Transmission (telecommunications); Social distance; Coronavirus disease 2019 (COVID-19); Outbreak; Transmission rate; Risk assessment; Business; Environmental health; Medicine; Virology; Computer security; Computer science; Telecommunications; Infectious disease (medical specialty); Disease","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":[0.005738107,0.0001097698,0.0005723717,0.00002321554,0.0002219047,0.000001914091,0.0000359671,0.0001259996,0.00003449282],"category_scores_gemma":[0.1557814,0.00006116187,0.00008111665,0.0001068039,0.0005699996,0.0000451475,0.00006054232,0.0002132158,0.000002795276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001228467,"about_ca_system_score_gemma":0.00001428325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001188487,"about_ca_topic_score_gemma":0.0001113799,"domain_scores_codex":[0.9972175,0.001818772,0.0005568279,0.0002325223,0.00003598793,0.0001384305],"domain_scores_gemma":[0.9743096,0.02496506,0.0005061413,0.00009830075,0.00003108771,0.00008984152],"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":[0.0002100151,0.00001279131,0.8337222,0.0001535366,0.00008218758,3.194584e-7,0.00071201,0.0001093446,0.00001923395,0.1597192,0.004158041,0.001101092],"study_design_scores_gemma":[0.001083191,0.0001876152,0.4157308,0.000006271785,0.0001367442,0.000005467195,0.00006389109,0.004904803,0.00001298376,0.5718516,0.005936645,0.000079956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8543986,0.001388704,0.09278509,0.05065672,0.00007869375,0.0003395458,0.000007471638,0.0000859568,0.0002592122],"genre_scores_gemma":[0.9863332,0.00455789,0.001033352,0.007934817,0.00009648309,0.00002633332,0.00000315892,0.000004671491,0.00001012236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4179914,"threshold_uncertainty_score":0.8513298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2251889201500559,"score_gpt":0.4340250836778254,"score_spread":0.2088361635277695,"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."}}