{"id":"W3199934695","doi":"10.3934/cpaa.2021150","title":"Dynamical analysis in disease transmission and final epidemic size","year":2021,"lang":"en","type":"article","venue":"Communications on Pure &amp Applied Analysis","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Basic reproduction number; Quarantine; Pandemic; Epidemic model; Coronavirus disease 2019 (COVID-19); Computer science; Disease; Disease transmission; Infectious disease (medical specialty); Transmission (telecommunications); Econometrics; Psychological intervention; Demography; Medicine; Biology; Mathematics; Ecology; Environmental health; Virology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001155999,0.0006421727,0.0006246968,0.001095304,0.0005098563,0.001474738,0.001241938,0.001223088,0.002695703],"category_scores_gemma":[0.006135489,0.0003118633,0.001147679,0.0003995719,0.001508747,0.001999584,0.001175061,0.001124967,0.0002883072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756117,"about_ca_system_score_gemma":0.0006726977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044517,"about_ca_topic_score_gemma":0.004268273,"domain_scores_codex":[0.9995259,0.0001999409,0.00001976515,0.0000912237,0.00006563331,0.00009754391],"domain_scores_gemma":[0.9974321,0.001495603,0.0005290497,0.0001219032,0.0002340127,0.0001874524],"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":[0.00006992811,0.00006819217,0.01005055,0.00009749102,0.0001044136,0.0006341645,0.0008232723,0.4938909,0.005459035,0.4794262,0.00288267,0.006493138],"study_design_scores_gemma":[0.00001444013,0.00004107185,0.002833134,0.00002317426,0.00002448754,0.0001534138,0.0001601754,0.9179491,0.0002830001,0.07701475,0.001472509,0.00003076665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4945594,0.00118325,0.4752715,0.003613645,0.000130083,0.0001269456,0.0006721617,0.0002090824,0.02423386],"genre_scores_gemma":[0.9808986,0.0004529805,0.01184955,0.0001402186,0.00006376804,0.00009200541,0.0001501405,0.00002340059,0.006329461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01044517,"threshold_uncertainty_score":0.02076876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.198381099042694,"score_gpt":0.4282653792912733,"score_spread":0.2298842802485792,"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."}}