{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000544949,0.0002430518,0.0005382806,0.00004829017,0.0001313256,0.00006717393,0.0001700451,0.0001578398,0.001731577],"category_scores_gemma":[0.009537674,0.0002098559,0.0001093125,0.0001819591,0.0001402644,0.0001741841,0.0002710753,0.0002750318,0.00009356645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007079137,"about_ca_system_score_gemma":0.00008316668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006457262,"about_ca_topic_score_gemma":0.0001271304,"domain_scores_codex":[0.998002,0.0002953618,0.0005682553,0.0005865193,0.0002220851,0.0003257871],"domain_scores_gemma":[0.9936419,0.005338017,0.0001782018,0.0003885464,0.0003302595,0.000123134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003240872,0.0009070989,0.2900043,0.001406307,0.001001484,0.0004660743,0.01608088,0.0132164,0.0165743,0.4732048,0.02273532,0.1640789],"study_design_scores_gemma":[0.001389295,0.0001519176,0.2032913,0.0006357908,0.0001903477,0.00002753553,0.001644894,0.2896965,0.002528793,0.4892544,0.01013617,0.001053047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.362464,0.0007861764,0.6169643,0.0108158,0.0004799049,0.0005035837,0.0000440606,0.0001631444,0.007779035],"genre_scores_gemma":[0.9915448,0.0001117368,0.004939274,0.001149005,0.0001460992,0.00001965087,0.00001013868,0.00001585833,0.002063461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6290808,"threshold_uncertainty_score":0.999181,"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."}}