{"id":"W4281561633","doi":"10.1126/science.abk0853","title":"Genetic variance in fitness indicates rapid contemporary adaptive evolution in wild animals","year":2022,"lang":"en","type":"article","venue":"Science","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":206,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of Alberta; University of British Columbia","funders":"Leibniz-Gemeinschaft; Research England; Natural Sciences and Engineering Research Council of Canada; Max-Planck-Institut für demografische Forschung; Research School of Biology, Australian National University; Uppsala Universitet; Universität Zürich; Centre National de la Recherche Scientifique; Vetenskapsrådet; MAVA Foundation; University of Pretoria; Koninklijke Nederlandse Akademie van Wetenschappen; Nederlands Instituut voor Ecologie; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Center for Research Resources; Australian Government; Agence Nationale de la Recherche; Royal Society Te Apārangi; National Science Foundation; University of Aberdeen; Svenska Forskningsrådet Formas; University of St Andrews; University of Exeter; University of Alberta; National Computational Infrastructure; National Cancer Institute; Leakey Foundation; Biotechnology and Biological Sciences Research Council; Université de Sherbrooke; Emory University; Natural Environment Research Council; Leibniz-Institut für Zoo- und Wildtierforschung; Norges Forskningsråd; University of Oxford; Norges Teknisk-Naturvitenskapelige Universitet; Directorate for Biological Sciences; National Geographic Society; National Institutes of Health; Muséum National d'Histoire Naturelle; Sight Research UK; Université de Montpellier; Illinois State University","keywords":"Selection (genetic algorithm); Biology; Natural selection; Variance (accounting); Population; Adaptive evolution; Evolutionary biology; Genetic Fitness; Genetic drift; Quantitative genetics; Genetic variability; Genetic variation; Biological evolution; Genetics; Demography; Computer science; Machine learning; Gene; Genotype","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":[0.00140865,0.0001419997,0.0002166911,0.0006810475,0.0002913831,0.0005161567,0.0002711564,0.000337473,0.0009099078],"category_scores_gemma":[0.00328913,0.0001474798,0.0002125365,0.0007255877,0.0009195261,0.0004987735,0.0003874523,0.0004513238,0.0001004484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089012,"about_ca_system_score_gemma":0.000132149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522318,"about_ca_topic_score_gemma":0.003952401,"domain_scores_codex":[0.9992027,0.0002619662,0.00006194458,0.0003412252,0.0000948749,0.00003726995],"domain_scores_gemma":[0.9980394,0.0008717377,0.0005233896,0.0003551592,0.0001377783,0.00007258059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009801609,0.00007152856,0.9394026,0.00006535316,0.0004542469,0.00007386474,0.0003157903,0.002194077,0.03993324,0.0007703919,0.0001828882,0.01643799],"study_design_scores_gemma":[0.000001314669,0.00002364853,0.9975023,0.00000307811,0.00001731959,0.00007683988,0.00004744675,0.001305414,0.0005787801,0.0003106441,0.0001283235,0.000004933707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965778,0.0001125526,0.002731545,0.00002708753,0.000003509609,0.000002085766,0.0001759921,0.00001513637,0.000354278],"genre_scores_gemma":[0.9986715,0.0000243232,0.0009890934,0.00001599925,0.00000530555,0.000003705319,0.0002163302,0.000007552769,0.00006623174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001522318,"threshold_uncertainty_score":0.007449746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405788648271788,"score_gpt":0.2363209242678947,"score_spread":0.2022630377851768,"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."}}