{"id":"W2580291725","doi":"10.3934/dcdsb.2017040","title":"Effects of superinfection and cost of immunity on host-parasite co-evolution","year":2017,"lang":"en","type":"article","venue":"Discrete and Continuous Dynamical Systems - B","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Superinfection; Biology; Host (biology); Mutant; Virulence; Parasite hosting; Evolutionary biology; Convergence (economics); Stability (learning theory); Genetics; Gene; Virus; Computer science; Economics","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":[0.0008500945,0.0006719829,0.000922802,0.0004950798,0.000507115,0.001080945,0.001103842,0.001250725,0.002912527],"category_scores_gemma":[0.003920832,0.0003175146,0.0006958307,0.0002632504,0.0009374504,0.001770003,0.001180348,0.0007947785,0.0001599647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000928162,"about_ca_system_score_gemma":0.0005422423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154581,"about_ca_topic_score_gemma":0.0007966039,"domain_scores_codex":[0.9995646,0.0001661041,0.00002139475,0.00007022358,0.00007211171,0.0001055838],"domain_scores_gemma":[0.9978878,0.001061919,0.0004743525,0.0001567097,0.0001463717,0.0002728634],"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":[0.000555579,0.0002572733,0.0203019,0.0004492388,0.0002999554,0.003679702,0.0003483309,0.6735262,0.1179407,0.1639304,0.0005752697,0.01813549],"study_design_scores_gemma":[0.00005540494,0.0003280836,0.008734753,0.00002086088,0.000141493,0.001022261,0.0001277895,0.9625959,0.003751457,0.02258563,0.0005819951,0.0000543922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382313,0.0005802905,0.05374472,0.0006646342,0.00004312183,0.00003187632,0.00006006104,0.0000736002,0.006570301],"genre_scores_gemma":[0.9969261,0.0001096347,0.002046494,0.00002774257,0.00001154197,0.00001470686,0.000008935189,0.000008850719,0.0008460982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002912527,"threshold_uncertainty_score":0.009743333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003956403949525372,"score_gpt":0.2504217374618584,"score_spread":0.246465333512333,"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."}}