{"id":"W7014382173","doi":"","title":"Pandemics, Public Health, and the Regulation of Borders : Lessons from COVID-19","year":2024,"lang":"en","type":"book","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queensland Government; Employment and Social Development Canada; Public Health Agency; Academy of the Social Sciences in Australia; Arts and Humanities Research Council; Yale University; McMaster University; Department of Foreign Affairs and Trade, Australian Government; Simon Fraser University; Rockefeller Foundation; Public Health Agency of Canada; McGill University; University of Toronto; Brigham and Women's Hospital; Dalhousie University; University of Cambridge; Agency for Healthcare Research and Quality; World Health Organization; Drexel University","keywords":"Politics; Pandemic; Public health; Coronavirus disease 2019 (COVID-19); Control (management); Public policy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004055664,0.0006392539,0.000761044,0.0006619002,0.005035889,0.0124346,0.001605155,0.007542814,0.004374355],"category_scores_gemma":[0.00597262,0.0004527589,0.0008033495,0.0009052973,0.02032592,0.01258613,0.006211722,0.01116303,0.0008859544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007022062,"about_ca_system_score_gemma":0.009378855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008551467,"about_ca_topic_score_gemma":0.01059272,"domain_scores_codex":[0.9971961,0.001535728,0.00009032141,0.0001734958,0.0005582398,0.0004460412],"domain_scores_gemma":[0.9971462,0.002130421,0.000146613,0.0001365956,0.0001841281,0.0002560444],"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":[0.00001190849,0.00002061083,0.0001577734,0.0001645184,0.000006404555,0.0001667168,0.007140457,0.0004712175,0.00007380486,0.8785099,0.09928723,0.01398945],"study_design_scores_gemma":[0.00001079742,0.0000199455,0.0003398157,0.0007250849,0.000005590022,0.0001592713,0.008272198,0.0001946665,0.00006289171,0.2050008,0.7851898,0.00001922785],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004586171,0.129512,0.005262724,0.4314481,0.01254437,0.00007414163,0.0000595701,0.0000910035,0.4164219],"genre_scores_gemma":[0.3309678,0.2403342,0.008805857,0.1942661,0.01350768,0.0003424021,0.0001997273,0.0002839993,0.2112921],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0124346,"threshold_uncertainty_score":0.05094892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1727253500138345,"score_gpt":0.3955827515137589,"score_spread":0.2228574014999243,"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."}}