{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000314238,0.0000876389,0.0001114191,0.00006847655,0.00004409507,0.000001531111,0.0001107115,0.0001198909,0.0001121614],"category_scores_gemma":[0.0001051296,0.00008769967,0.00004947199,0.0001177928,0.0002239373,0.000001558398,0.00008359012,0.00003601282,0.00001805961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008652144,"about_ca_system_score_gemma":0.00004517588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004436015,"about_ca_topic_score_gemma":0.0005200333,"domain_scores_codex":[0.9992989,0.00006567093,0.000202679,0.0002261203,0.00004067736,0.0001660113],"domain_scores_gemma":[0.9995612,0.000006166143,0.00006372607,0.0002267554,0.0000968526,0.00004531394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004325882,0.0002501697,0.6502975,0.00001076314,0.00003417755,8.358552e-7,0.00003516678,0.0002937434,0.3471141,0.001070541,0.0005829101,0.000266899],"study_design_scores_gemma":[0.001356592,0.002600002,0.9386458,0.00003024623,0.00006419453,0.00005676709,0.00009540118,0.01020067,0.03507103,0.006310185,0.004935232,0.000633823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965277,0.0008456308,0.001438537,0.00005769326,0.0002069893,0.0001075717,0.00008318717,0.0000124686,0.0007202398],"genre_scores_gemma":[0.9988919,0.0001363035,0.000395144,0.0001008988,0.0001486635,0.00001220716,0.0002175919,0.000008653049,0.0000886348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.312043,"threshold_uncertainty_score":0.3576289,"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."}}