{"id":"W3108640015","doi":"10.5539/jmr.v12n6p100","title":"Global Analysis of SIRS Epidemic Model With General Incidence Function and Incomplete Recovery Rates Stochastical Model","year":2020,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Stability (learning theory); Applied mathematics; Epidemic model; Class (philosophy); Stochastic modelling; Mathematical optimization; Mathematical economics; Statistics; Population; Computer science; Demography; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00136019,0.0008190477,0.001134017,0.00097741,0.0004163946,0.001184423,0.001533149,0.0008878756,0.002805312],"category_scores_gemma":[0.002468515,0.0004584278,0.001389056,0.0005914828,0.001040027,0.002136047,0.001131238,0.0009560173,0.0002084651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065953,"about_ca_system_score_gemma":0.0009703301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00824273,"about_ca_topic_score_gemma":0.003432012,"domain_scores_codex":[0.9994673,0.0001841551,0.00002374911,0.0001243511,0.0000965229,0.0001040109],"domain_scores_gemma":[0.9990374,0.0003958525,0.0002677035,0.00005243771,0.0001721207,0.00007457609],"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":[0.00002483952,0.0000149565,0.001233464,0.0000504973,0.00004757873,0.0001946322,0.00008115226,0.8641219,0.001006024,0.1304825,0.0006294547,0.002113046],"study_design_scores_gemma":[0.000005630417,0.00001325042,0.0002780887,0.000004303862,0.00001331234,0.0000315253,0.0000170726,0.9814265,0.0000650677,0.0178712,0.0002668485,0.000007146898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1434661,0.001347897,0.8422064,0.001186418,0.00008172406,0.00005995859,0.0003929127,0.0002080544,0.01105049],"genre_scores_gemma":[0.9731881,0.001187963,0.01347909,0.0001084975,0.0001211415,0.00009881533,0.0003063214,0.0000736513,0.01143644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00824273,"threshold_uncertainty_score":0.01638949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1670909090184524,"score_gpt":0.418761490174611,"score_spread":0.2516705811561586,"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."}}