{"id":"W2010273716","doi":"10.1016/j.mbs.2006.09.017","title":"Modeling relapse in infectious diseases","year":2006,"lang":"en","type":"article","venue":"Mathematical Biosciences","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Victoria","funders":"","keywords":"Monotone polygon; Differential equation; Mathematics; Complement (music); Applied mathematics; Stability (learning theory); Lyapunov function; Basic reproduction number; Constant (computer programming); Epidemic model; Mathematical analysis; Medicine; Computer science; Nonlinear system; Physics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002503631,0.0006137002,0.001336645,0.0009845326,0.0006833551,0.001901384,0.00176459,0.002349321,0.002867797],"category_scores_gemma":[0.01343555,0.000473818,0.001035104,0.000823815,0.001543327,0.002543007,0.001583996,0.001966319,0.0003980633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942192,"about_ca_system_score_gemma":0.001206647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008492547,"about_ca_topic_score_gemma":0.004824112,"domain_scores_codex":[0.9991384,0.0004766962,0.00003025897,0.0001180231,0.00007560758,0.0001610221],"domain_scores_gemma":[0.9953616,0.003229266,0.0005202892,0.0002788537,0.0002825175,0.0003274186],"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":[0.0001497236,0.0002187339,0.01261593,0.0001253815,0.000151382,0.0003079918,0.00063254,0.5623501,0.0008435262,0.3993929,0.004406714,0.01880511],"study_design_scores_gemma":[0.00001841117,0.00003314984,0.0007163446,0.00001227212,0.00003688847,0.00005148891,0.00008155035,0.8433411,0.000112798,0.154499,0.001086315,0.00001072628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5161272,0.003330855,0.4453424,0.01515854,0.0005253101,0.00009196941,0.0003590512,0.000601108,0.01846369],"genre_scores_gemma":[0.9854159,0.0006853644,0.00724359,0.0002865122,0.0001444436,0.00004305611,0.0000689652,0.00004778515,0.006064321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008492547,"threshold_uncertainty_score":0.01688623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003890653149765,"score_gpt":0.2861237813015134,"score_spread":0.2660848747700158,"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."}}