{"id":"W2952345745","doi":"10.1371/journal.pbio.2006738","title":"Evolutionary emergence of infectious diseases in heterogeneous host populations","year":2018,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Université Laval","funders":"Natural Environment Research Council; Biotechnology and Biological Sciences Research Council; Centre National de la Recherche Scientifique; Wellcome Trust; Sight Research UK; Leverhulme Trust; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; CRISPR; Population; Pathogen; Host (biology); Lytic cycle; Evolutionary biology; Genetics; Coevolution; Ecology; Gene; Virus","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001526366,0.0003525502,0.0007303579,0.0006892452,0.0006907156,0.001516905,0.0007329523,0.001217667,0.0012189],"category_scores_gemma":[0.005410653,0.0003394974,0.0006179862,0.0002699477,0.001122046,0.001831522,0.001224532,0.0008630715,0.0001910595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009676081,"about_ca_system_score_gemma":0.0004690729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008475485,"about_ca_topic_score_gemma":0.001071103,"domain_scores_codex":[0.9992537,0.000278504,0.00003184426,0.0002167319,0.0001025486,0.0001166865],"domain_scores_gemma":[0.9973042,0.001445563,0.0006916228,0.0001929857,0.000120487,0.0002452024],"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":[0.0004940991,0.0004810367,0.1462351,0.0003647647,0.0005236527,0.003554486,0.001034166,0.483508,0.09740724,0.2217219,0.001895485,0.04278015],"study_design_scores_gemma":[0.00009440482,0.0004489154,0.03950372,0.00003665005,0.0001116265,0.001220933,0.0006295254,0.8655148,0.004716001,0.08584221,0.001786009,0.00009525692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381136,0.000266086,0.05831262,0.0004419774,0.00001948834,0.00003542556,0.00006313856,0.00006379611,0.002683838],"genre_scores_gemma":[0.9963706,0.0001601288,0.002758502,0.00006876414,0.000009920567,0.00002858752,0.0000328216,0.000007018793,0.0005635681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001526366,"threshold_uncertainty_score":0.008072317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137930656117058,"score_gpt":0.276862750718942,"score_spread":0.2630696851072362,"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."}}