{"id":"W3088882709","doi":"10.1142/s0218339020500217","title":"TIME-VARYING EPIDEMIC TRANSMISSION IN HETEROGENEOUS NETWORKS AND APPLICATIONS TO MEASLES","year":2020,"lang":"en","type":"article","venue":"Journal of Biological Systems","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Basic reproduction number; Transmission (telecommunications); Stability (learning theory); Epidemic model; Population; Computer science; Transmission rate; Control theory (sociology); Mathematics; Control (management); Telecommunications; Artificial intelligence; Medicine","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":[0.0007061182,0.0005921047,0.0005119511,0.0007196729,0.0004995901,0.0007097823,0.0007287043,0.0009208452,0.0007825203],"category_scores_gemma":[0.003182692,0.000226271,0.0008232708,0.0005361818,0.0006448762,0.001019931,0.0006503741,0.0005694879,0.00006157163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007712752,"about_ca_system_score_gemma":0.0002916202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006507018,"about_ca_topic_score_gemma":0.002817429,"domain_scores_codex":[0.9997528,0.000110762,0.000009810296,0.0000444543,0.00004313481,0.00003910267],"domain_scores_gemma":[0.9990735,0.0005467161,0.0001991031,0.00005053477,0.00008051992,0.00004958958],"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":[0.00002502263,0.00003137992,0.001501527,0.00004074367,0.00004135677,0.0003781143,0.00009102286,0.9386095,0.00271075,0.05272695,0.0002367072,0.003606748],"study_design_scores_gemma":[0.000003017263,0.00001344002,0.0003129571,0.000003801395,0.00001038628,0.00004069167,0.00002803146,0.9901122,0.0001899956,0.00907161,0.0002076723,0.000006168496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3534354,0.002740761,0.6326156,0.001354598,0.0001938328,0.00006177441,0.0001540154,0.000136669,0.009307407],"genre_scores_gemma":[0.9891321,0.001032605,0.007698127,0.00004613422,0.00008081587,0.00002419129,0.00003259,0.00001389597,0.001939568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006507018,"threshold_uncertainty_score":0.01293826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06484717603841857,"score_gpt":0.3033691428199669,"score_spread":0.2385219667815483,"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."}}