{"id":"W3136788967","doi":"10.1109/tcss.2021.3058633","title":"The Pandemic Holiday Blip in New York City","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Pandemic; Economic shortage; Coronavirus disease 2019 (COVID-19); Computer science; Health care; Operations research; Risk analysis (engineering); Service (business); Representation (politics); Healthcare system; Simulation; Computer security; Engineering; Business; Disease; Medicine; Economics; Political science; Economic growth; Marketing; Infectious disease (medical specialty)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002726322,0.0004770756,0.0002001796,0.0003372954,0.002395299,0.001141695,0.0007998507,0.001479609,0.005819968],"category_scores_gemma":[0.0005251156,0.0002035348,0.0003040104,0.000435095,0.0006988452,0.0009417506,0.0009941246,0.001235011,0.0004489513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004444162,"about_ca_system_score_gemma":0.003019815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4258611,"about_ca_topic_score_gemma":0.5313528,"domain_scores_codex":[0.9998851,0.00002912763,0.000003733111,0.0000218783,0.00002510422,0.00003500566],"domain_scores_gemma":[0.9998341,0.00003511504,0.0000128934,0.00001068183,0.00003658857,0.00007060687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001103248,0.001360147,0.2141682,0.0007060118,0.0002767745,0.02976797,0.01227431,0.391547,0.007579091,0.03496082,0.2487097,0.05754673],"study_design_scores_gemma":[0.0002861491,0.0005406927,0.2094375,0.0003518552,0.0001088192,0.001029516,0.04176291,0.5884665,0.002139101,0.008107719,0.1475005,0.0002688594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9249288,0.0005765674,0.002761145,0.006041609,0.000608596,0.0003290543,0.003475632,0.0003271141,0.0609515],"genre_scores_gemma":[0.9757082,0.0005891667,0.001664236,0.0003937413,0.00007508825,0.0001491206,0.001915594,0.00005087071,0.01945396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4258611,"threshold_uncertainty_score":0.8467646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3302494852638138,"score_gpt":0.4189687156241469,"score_spread":0.08871923036033313,"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."}}