{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001181079,0.0002831474,0.001159659,0.0004782517,0.0003614817,0.0000419833,0.0007314074,0.0001555723,0.0002839622],"category_scores_gemma":[0.004086815,0.0002413755,0.0006173415,0.005054268,0.000261503,0.00003827084,0.000498458,0.0005314887,0.00001680721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001745377,"about_ca_system_score_gemma":0.00005815796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006366743,"about_ca_topic_score_gemma":0.002193926,"domain_scores_codex":[0.9971821,0.0007060382,0.0008496841,0.0006583022,0.0002802931,0.0003235347],"domain_scores_gemma":[0.9855804,0.01106229,0.0002222367,0.002789786,0.000100041,0.0002452719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004371281,0.004975626,0.5070738,0.0003293194,0.02036938,0.00003896864,0.002358869,0.02048363,0.001002525,0.4024506,0.001509993,0.03897018],"study_design_scores_gemma":[0.0009824065,0.00002160437,0.5256653,0.00006591776,0.02137209,8.907214e-7,0.0004258887,0.1018363,0.00001226859,0.3354996,0.01328221,0.0008354484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6186929,0.007343296,0.296328,0.07127704,0.00002020915,0.0008844157,0.0002139724,0.0004020389,0.004838158],"genre_scores_gemma":[0.9587487,0.002130004,0.03757771,0.0008580027,0.00001106194,0.0001608659,0.0002421115,0.00001555759,0.0002560095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3400558,"threshold_uncertainty_score":0.9843009,"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."}}