{"id":"W2904192685","doi":"10.1002/mma.5439","title":"Global dynamics of an epidemic model with relapse and nonlinear incidence","year":2018,"lang":"en","type":"article","venue":"Mathematical Methods in the Applied Sciences","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Epidemic model; Mathematics; Basic reproduction number; Lemma (botany); Invariant (physics); Lyapunov function; Applied mathematics; Nonlinear system; Basis (linear algebra); Incidence (geometry); Mathematical economics; Demography; Mathematical physics; Population; Biology; Ecology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.009382379,0.0001410598,0.0005496425,0.00004640419,0.000134879,0.000009307509,0.0003305251,0.0001439038,0.0000572557],"category_scores_gemma":[0.001752481,0.00006684781,0.00003351666,0.0004019664,0.005077231,0.00005910572,0.00009296492,0.0001999305,0.000005600197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001716994,"about_ca_system_score_gemma":0.00005752832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003644666,"about_ca_topic_score_gemma":0.0000145475,"domain_scores_codex":[0.998342,0.0003430299,0.0004697353,0.0003264206,0.000215548,0.0003032889],"domain_scores_gemma":[0.9967262,0.002691332,0.0001101739,0.0003191152,0.0000409354,0.0001122753],"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":[0.0001211863,0.0001810104,0.000448895,0.0001061928,0.000008583989,0.000002464044,0.0004202466,0.00009932736,0.0001138356,0.9963164,0.000003370814,0.002178541],"study_design_scores_gemma":[0.0001386303,0.0003013763,0.0001736713,0.00004504267,0.0000289176,0.00007843701,0.000268758,0.4714763,0.00009338771,0.5273494,6.005986e-7,0.00004549624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3508449,0.00001292487,0.6225989,0.001242299,0.000008867583,0.0002376861,0.00000183001,0.00001417223,0.02503845],"genre_scores_gemma":[0.4529986,0.000003080218,0.5462469,0.0007064811,0.00001402953,0.00001766855,3.823974e-7,0.000002768107,0.00001004081],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.471377,"threshold_uncertainty_score":0.9976304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06487059674506472,"score_gpt":0.4266373747355025,"score_spread":0.3617667779904377,"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."}}