{"id":"W2021931705","doi":"10.1098/rspb.2001.1795","title":"Interactions between sources of mortality and the evolution of parasite virulence","year":2001,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virulence; Host (biology); Mortality rate; Biology; Pathogen; Parasite hosting; Evolutionary biology; Ecology; Microbiology; Demography; Genetics; Gene; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006267315,0.00006373828,0.0001237052,0.000005802895,0.0001492896,0.000007897074,0.0003246287,0.00006757543,0.000005242557],"category_scores_gemma":[0.0001730517,0.00003010579,0.000139899,0.000169491,0.002354798,0.000004202315,0.0001995767,0.00005640196,1.332958e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007577386,"about_ca_system_score_gemma":0.00001925623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001770742,"about_ca_topic_score_gemma":0.000006011493,"domain_scores_codex":[0.9993881,0.00001796415,0.0001936501,0.0001609046,0.0001329254,0.0001064764],"domain_scores_gemma":[0.9995584,0.00003920637,0.0002270536,0.00005384464,0.00009921661,0.00002224564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000172664,0.00001990796,0.9543864,0.000009063554,0.00002335657,2.120669e-9,0.00009111482,0.00005119907,0.04363438,0.001555248,0.00005680571,0.0001552173],"study_design_scores_gemma":[0.0002129186,0.0001718733,0.978512,0.00001758135,0.00002810288,0.000001543286,0.001189755,0.002998689,0.01385647,0.00277255,0.0001728094,0.00006565736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978768,0.0003699505,0.0003480186,0.0002380392,0.00002566544,0.00009751122,0.000008455894,0.000003015985,0.00103254],"genre_scores_gemma":[0.9992568,0.0002217007,0.0003553161,0.00003176169,0.00003838284,0.000003408219,7.1383e-7,0.000001131619,0.00009075017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02977791,"threshold_uncertainty_score":0.8676351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492981494103201,"score_gpt":0.2894482333532243,"score_spread":0.2645184184121923,"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."}}