{"id":"W3157631777","doi":"10.1101/2021.04.25.21256082","title":"Quarantine and testing strategies to ameliorate transmission due to travel during the COVID-19 pandemic: a modelling study","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Canadian Institutes of Health Research; Notsew Orm Sands Foundation","keywords":"Quarantine; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transmission (telecommunications); Virology; Medicine; Computer science; Outbreak; Infectious disease (medical specialty); Telecommunications; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002110007,0.001253711,0.001328468,0.001489449,0.0007387626,0.001903383,0.00253003,0.002991406,0.007638522],"category_scores_gemma":[0.00573481,0.0005939841,0.002866793,0.001187868,0.0008702402,0.001315668,0.001561622,0.001645786,0.0004730769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002609739,"about_ca_system_score_gemma":0.002164249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0645883,"about_ca_topic_score_gemma":0.03827161,"domain_scores_codex":[0.9989879,0.0005882468,0.00003626329,0.0001173896,0.00003973778,0.0002304568],"domain_scores_gemma":[0.9938653,0.004786261,0.0004849591,0.000148829,0.0003750089,0.00033972],"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":[0.0002399222,0.0002940438,0.008168291,0.0001392283,0.000136326,0.0002836142,0.0001351569,0.9832998,0.0002487623,0.003181311,0.000887625,0.002985924],"study_design_scores_gemma":[0.0001254383,0.0003127196,0.002571235,0.00004061072,0.0001097808,0.00004832919,0.0003216511,0.9934967,0.00008714209,0.002074412,0.0007837464,0.00002815476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579978,0.0009526592,0.02532867,0.001207597,0.0000904628,0.000348894,0.002206174,0.0001259276,0.01174181],"genre_scores_gemma":[0.9863609,0.0004882295,0.007599226,0.0000949391,0.00003028004,0.0002453061,0.0006636663,0.00002685174,0.004490495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0645883,"threshold_uncertainty_score":0.1284247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4230775599039988,"score_gpt":0.4394566118278999,"score_spread":0.01637905192390116,"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."}}