{"id":"W2064386076","doi":"10.1371/journal.pcbi.1000536","title":"Antigenic Diversity, Transmission Mechanisms, and the Evolution of Pathogens","year":2009,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Medical Research Council; Howard Hughes Medical Institute","keywords":"Biology; Transmissibility (structural dynamics); Transmission (telecommunications); Host (biology); Genetic Fitness; Evolutionary biology; Population; Pathogen; Evolutionary dynamics; Antigenic variation; Fitness landscape; Genetics; Immune system; Biological evolution; Computer science; 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":[0.0008721747,0.0004065816,0.0004466786,0.0007912947,0.0005663494,0.001710123,0.0006315209,0.00108713,0.001078536],"category_scores_gemma":[0.003828715,0.0004427255,0.0006287651,0.000446196,0.001094814,0.002084545,0.0009979636,0.0005168031,0.0001334125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008187516,"about_ca_system_score_gemma":0.000367776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470914,"about_ca_topic_score_gemma":0.001028291,"domain_scores_codex":[0.9997267,0.0001279121,0.00001211749,0.00004436809,0.00004507177,0.00004376367],"domain_scores_gemma":[0.9993439,0.000355657,0.000130029,0.00006825586,0.00002918286,0.00007300916],"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":[0.00008375549,0.00004189614,0.01507607,0.0000642949,0.0001016895,0.0002707451,0.0001351837,0.8765615,0.007483737,0.09016096,0.0002832369,0.009736896],"study_design_scores_gemma":[0.00003150063,0.0000355522,0.005296422,0.00001459786,0.00003511523,0.0002770579,0.00007231404,0.921667,0.0008664392,0.07097032,0.0007086496,0.00002500844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373492,0.000842869,0.05686527,0.0007565513,0.00001546932,0.00001321727,0.000051933,0.00005700434,0.004048572],"genre_scores_gemma":[0.9925487,0.0004399737,0.006273219,0.00004223931,0.000009269616,0.00001649222,0.00002348833,0.00001532752,0.0006313696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001710123,"threshold_uncertainty_score":0.005940437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006537975785677058,"score_gpt":0.21863512382558,"score_spread":0.212097148039903,"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."}}