{"id":"W1968370982","doi":"10.3934/dcdsb.2002.2.257","title":"A model for an SI disease in an age - structured population","year":2002,"lang":"en","type":"article","venue":"Discrete and Continuous Dynamical Systems - B","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Life span; Basic reproduction number; Disease; Demography; Mathematics; Exponential distribution; Exponential growth; Population; Infectious disease (medical specialty); Applied mathematics; Statistics; Econometrics; Biology; Medicine; Evolutionary biology; Mathematical analysis; Sociology; Internal medicine","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":[0.0009591386,0.0007165706,0.0008804367,0.0008945496,0.0005925041,0.001364633,0.002408704,0.002576036,0.006833391],"category_scores_gemma":[0.002273878,0.0003633753,0.0007343905,0.001107178,0.001070441,0.001686302,0.001108468,0.001410567,0.001393669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009445196,"about_ca_system_score_gemma":0.0009553846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005098236,"about_ca_topic_score_gemma":0.003244848,"domain_scores_codex":[0.9994766,0.0001931897,0.00002687536,0.0001219624,0.00009407137,0.00008717721],"domain_scores_gemma":[0.9990039,0.0004327966,0.0002621193,0.00006551557,0.0001192663,0.0001163871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001559591,0.0002881435,0.006151438,0.0002232634,0.000139873,0.001714817,0.001100336,0.3032099,0.004763976,0.6584252,0.006318656,0.01750852],"study_design_scores_gemma":[0.0002341926,0.0002530679,0.001560042,0.00003782516,0.00007187667,0.0008149935,0.0001857662,0.8707553,0.0002409663,0.1163988,0.009404679,0.00004254298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3344302,0.001650277,0.6092619,0.007320404,0.0004536014,0.0003347589,0.00215614,0.0003909312,0.04400178],"genre_scores_gemma":[0.9028571,0.001646065,0.04282541,0.0007381501,0.0004125627,0.0005018659,0.0007267141,0.00004049476,0.05025167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006833391,"threshold_uncertainty_score":0.02285999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1432161603720315,"score_gpt":0.371534064769376,"score_spread":0.2283179043973445,"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."}}