{"id":"W1986017546","doi":"10.1007/s002850000032","title":"A simple SIS epidemic model with a backward bifurcation","year":2000,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":315,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Bifurcation; Mathematics; Epidemic model; Constant (computer programming); Simple (philosophy); Stability (learning theory); Applied mathematics; Hysteresis; Bifurcation theory; Mathematical analysis; Control theory (sociology); Mathematical economics; Control (management); Computer science; Physics; Nonlinear system; Demography","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":[0.0006253705,0.000756243,0.001397427,0.001145659,0.0007448114,0.001694402,0.001060983,0.002774455,0.003288433],"category_scores_gemma":[0.001839661,0.0005213975,0.001070801,0.0007265419,0.0009168966,0.001728602,0.001239621,0.0008424906,0.0005148572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006514905,"about_ca_system_score_gemma":0.0007314626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002348148,"about_ca_topic_score_gemma":0.0008813379,"domain_scores_codex":[0.9997999,0.00006777827,0.00001282429,0.00003896565,0.00003893014,0.00004154903],"domain_scores_gemma":[0.9994849,0.0002295033,0.0000770865,0.00003729284,0.00008006629,0.00009110285],"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":[0.0005008365,0.0003682722,0.004964401,0.000425972,0.0002578222,0.003687108,0.0004579744,0.5940366,0.02279601,0.3543328,0.004744426,0.01342772],"study_design_scores_gemma":[0.0001229856,0.00009850693,0.0007292023,0.00002080166,0.00008604636,0.0004892478,0.00007195061,0.9370707,0.000454392,0.05948374,0.001322389,0.00005002534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7125829,0.001337313,0.2249554,0.004264793,0.0006313387,0.0002372638,0.0007519684,0.0004864489,0.05475252],"genre_scores_gemma":[0.9794593,0.0005220762,0.004817693,0.0002114906,0.000107388,0.00005566958,0.0000904373,0.00002472857,0.01471118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003288433,"threshold_uncertainty_score":0.01100093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178745445361766,"score_gpt":0.3178342299235879,"score_spread":0.2860467754699703,"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."}}