{"id":"W3041630889","doi":"10.1016/j.tranpol.2020.07.003","title":"Socially optimal lockdown and travel restrictions for fighting communicable virus including COVID-19","year":2020,"lang":"en","type":"article","venue":"Transport Policy","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":123,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Social Sciences and Humanities Research Council of Canada; University of International Business and Economics","keywords":"Population; Social cost; Exploit; Social distance; Economics; Government (linguistics); Pandemic; Economic cost; Business; Coronavirus disease 2019 (COVID-19); Public economics; Microeconomics; Computer security; Computer science; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000599771,0.0002350178,0.0006164449,0.00007102986,0.0009130908,0.00001822237,0.0002932092,0.0001522643,0.0000636009],"category_scores_gemma":[0.005014118,0.0002114758,0.0001827057,0.0003524701,0.0001904718,0.00008335835,0.00009911797,0.0002800519,0.000006222114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825495,"about_ca_system_score_gemma":0.000362941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002765212,"about_ca_topic_score_gemma":0.0007312595,"domain_scores_codex":[0.9983667,0.0000906257,0.000578074,0.0003469869,0.0001492168,0.0004684215],"domain_scores_gemma":[0.9958469,0.003332853,0.0001723332,0.0002241152,0.00004783729,0.0003760202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000687647,0.0005154258,0.02566529,0.002852314,0.0007017478,0.00005142104,0.04366859,0.002341238,0.004676247,0.8713819,0.04471058,0.002747578],"study_design_scores_gemma":[0.008871998,0.001317086,0.0487817,0.0002005618,0.001063461,0.00002531695,0.005105861,0.008774924,0.0009095529,0.4127817,0.5097673,0.002400594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2217029,0.0009605766,0.4390261,0.3240979,0.00008954102,0.00269532,0.001126396,0.001262026,0.009039352],"genre_scores_gemma":[0.9422175,0.0005324999,0.04041252,0.01584319,0.000504226,0.0001471108,0.00003854295,0.00004927874,0.0002551256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7205147,"threshold_uncertainty_score":0.8623731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4638813014029399,"score_gpt":0.4776304967456294,"score_spread":0.01374919534268942,"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."}}