{"id":"W3106148249","doi":"10.1080/17513758.2020.1849831","title":"Dynamics of a diffusive vaccination model with therapeutic impact and non-linear incidence in epidemiology","year":2020,"lang":"en","type":"article","venue":"Journal of Biological Dynamics","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; University of Calgary","funders":"","keywords":"Epidemic model; Mathematics; Vaccination; Nonlinear system; Applied mathematics; Incidence (geometry); Stability (learning theory); Basic reproduction number; Stability theory; Boundary (topology); Statistical physics; Mathematical analysis; Computer science; Biology; Physics; Demography; Virology; Population; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00110084,0.000147188,0.001027724,0.00007160967,0.0000218036,0.000001369044,0.0001056894,0.0003188597,0.00004412327],"category_scores_gemma":[0.00229159,0.00007373327,0.0001306264,0.0001401938,0.0003106188,0.00005657375,0.00005074111,0.0005471578,9.928411e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007228868,"about_ca_system_score_gemma":0.00007116711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004076916,"about_ca_topic_score_gemma":0.00001100561,"domain_scores_codex":[0.9985389,0.0002019359,0.0007897596,0.0001651886,0.0000735263,0.0002307192],"domain_scores_gemma":[0.997665,0.001455687,0.0004387267,0.000080499,0.0001479904,0.0002120479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005203401,0.0005420077,0.6759682,0.0002029797,0.000241712,0.0001043693,0.0002967437,0.02039297,0.0003687305,0.2924458,0.000007236742,0.004225872],"study_design_scores_gemma":[0.0008378765,0.002793958,0.114349,0.00005114655,0.0000499727,0.0001574279,0.00005787906,0.7451442,0.000004977489,0.1364944,1.872654e-7,0.00005899299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6656789,0.0001119626,0.3265592,0.007386871,0.000009280677,0.0001115986,0.000006595235,0.000003575963,0.0001320904],"genre_scores_gemma":[0.9906145,0.0003971439,0.007300545,0.001638594,0.00002744861,0.000002200713,0.000008569041,0.000005936153,0.00000508155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7247512,"threshold_uncertainty_score":0.3006755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.054454978851248,"score_gpt":0.3451337391186944,"score_spread":0.2906787602674464,"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."}}