{"id":"W4366815644","doi":"10.1007/s00285-023-01918-4","title":"Global stability of latency-age/stage-structured epidemic models with differential infectivity","year":2023,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Science Basic Research Program of Shaanxi Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Infectivity; Latency (audio); Biology; Stability (learning theory); Stage (stratigraphy); Epidemic model; Mathematics; Applied mathematics; Virology; Computer science; Demography; Virus; Telecommunications; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002586617,0.0003030956,0.001758953,0.0001040539,0.00007302713,0.000009031742,0.0004054859,0.0002948187,0.0002619583],"category_scores_gemma":[0.01355795,0.0001664767,0.0003735905,0.0004529803,0.0006162563,0.0001013667,0.0003039989,0.0004058658,0.0000098393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603485,"about_ca_system_score_gemma":0.0000948516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002311493,"about_ca_topic_score_gemma":0.00005687876,"domain_scores_codex":[0.9966437,0.0007327497,0.00151888,0.00029483,0.0003221848,0.0004876342],"domain_scores_gemma":[0.9901971,0.007862538,0.001093112,0.0003843934,0.0002952521,0.0001676234],"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":[0.001206069,0.001317494,0.1569752,0.002337971,0.001367302,0.0001551423,0.0009065443,0.0007054584,0.007478842,0.8232894,0.001548217,0.002712425],"study_design_scores_gemma":[0.0007519819,0.0006513823,0.02053873,0.0001045081,0.0001361806,0.00004733995,0.0001000909,0.00221371,0.0003345577,0.9749212,0.00002840709,0.0001719473],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8619066,0.00004506735,0.1364692,0.0007171484,0.0001182342,0.0002524488,0.00005495624,0.00006813704,0.0003681488],"genre_scores_gemma":[0.9853222,0.00005315434,0.01443326,0.00006213752,0.00008999674,0.000008365423,0.000002295845,0.00001453366,0.00001404535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1516318,"threshold_uncertainty_score":0.9947513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2430058510104991,"score_gpt":0.4245249364000768,"score_spread":0.1815190853895776,"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."}}