{"id":"W4311928512","doi":"10.1080/17513758.2022.2153938","title":"A contact tracing SIR model for randomly mixed populations","year":2022,"lang":"en","type":"article","venue":"Journal of Biological Dynamics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Contact tracing; Tracing; Population; Computer science; Epidemic model; Statistics; Mathematics; Infectious disease (medical specialty); Demography; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002224077,0.0008911238,0.001075347,0.001245782,0.0004320333,0.001631129,0.003141432,0.002134382,0.008080737],"category_scores_gemma":[0.006384944,0.0004507764,0.001036078,0.001029078,0.001171015,0.002265666,0.001327659,0.001564147,0.001436992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009590152,"about_ca_system_score_gemma":0.0005534147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00389081,"about_ca_topic_score_gemma":0.002080885,"domain_scores_codex":[0.9990688,0.0004175848,0.00004296055,0.0002122474,0.0001339863,0.0001243959],"domain_scores_gemma":[0.9972073,0.001544364,0.0005885641,0.0001705881,0.0003054453,0.0001837701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002197853,0.0001203844,0.004301498,0.0001640364,0.000157642,0.000858655,0.0004114406,0.5429246,0.003096606,0.4297388,0.004859244,0.01314734],"study_design_scores_gemma":[0.00003394588,0.00005727355,0.0003770427,0.00001140537,0.00003162161,0.0001365756,0.00004005911,0.972496,0.0001611353,0.02497497,0.001662444,0.00001745352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09475577,0.0008362219,0.8836911,0.00166167,0.0001661684,0.0001531345,0.001334381,0.0004827226,0.01691866],"genre_scores_gemma":[0.870761,0.001410472,0.06028528,0.0006165672,0.0003103377,0.0005129108,0.001198183,0.000145862,0.06475933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008080737,"threshold_uncertainty_score":0.02703279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3978752155245592,"score_gpt":0.4413578079760376,"score_spread":0.04348259245147834,"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."}}