{"id":"W4213412673","doi":"10.1109/wsc52266.2021.9715341","title":"Travel Cadence and Epidemic Spread","year":2021,"lang":"en","type":"article","venue":"2021 Winter Simulation Conference (WSC)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cadence; Computer science; Fidelity; Transmission (telecommunications); Representation (politics); Population; Epidemic model; Simple (philosophy); Geography; Telecommunications; Engineering; Demography","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":[0.0006595722,0.0003461308,0.0003874019,0.00100539,0.0005132285,0.001843267,0.0003788921,0.0008819876,0.006882155],"category_scores_gemma":[0.008960564,0.0002119771,0.0003359063,0.0006157763,0.001065364,0.001905411,0.001202355,0.0007792436,0.0002425569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000806066,"about_ca_system_score_gemma":0.0004056964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003841643,"about_ca_topic_score_gemma":0.002387138,"domain_scores_codex":[0.9996597,0.0001558957,0.00001526806,0.00005529812,0.00005187847,0.00006210609],"domain_scores_gemma":[0.9971398,0.001648213,0.0005752508,0.0001669678,0.0001631837,0.0003066735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002767666,0.0001866349,0.04048539,0.0002573346,0.0001500305,0.0005638908,0.001237529,0.2277193,0.002951234,0.6820722,0.002537026,0.04156261],"study_design_scores_gemma":[0.0001211972,0.0005233157,0.04749081,0.0002282023,0.0001602862,0.0009394124,0.001925951,0.5506001,0.001364206,0.3809477,0.015592,0.0001067655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8803802,0.003037169,0.06171558,0.003396175,0.0001113563,0.00006069159,0.0002778847,0.000137748,0.05088327],"genre_scores_gemma":[0.996073,0.0004203663,0.001588181,0.00006183588,0.00002028922,0.00001303785,0.00003292986,0.000007967204,0.001782444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006882155,"threshold_uncertainty_score":0.02302313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3552539006777278,"score_gpt":0.4527291343561167,"score_spread":0.09747523367838895,"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."}}