{"id":"W3124204293","doi":"10.7554/elife.63910","title":"Phenotypic and molecular evolution across 10,000 generations in laboratory budding yeast populations","year":2021,"lang":"en","type":"article","venue":"eLife","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; National Institute of General Medical Sciences; Hertz Foundation; Harvard University; Simons Foundation; National Defense Science and Engineering Graduate; Department of Biotechnology, Ministry of Science and Technology, India; National Institutes of Health; National Science Foundation","keywords":"Biology; Experimental evolution; Adaptation (eye); Ploidy; Evolutionary biology; Genetics; Fixation (population genetics); Evolutionary dynamics; Loss of heterozygosity; Phenotype; Saccharomyces cerevisiae; Genetic Fitness; Phenotypic trait; Allele; Biological evolution; Yeast; Gene; Population","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":[0.00007810099,0.00008462635,0.0000744403,0.00002607095,0.0001022287,0.00002827362,0.00004649324,0.0001003544,0.00003435197],"category_scores_gemma":[0.0001030855,0.0001015118,0.00002673815,0.0001678295,0.00003974831,0.000004422178,0.00007221137,0.00005757856,0.00001116078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002531121,"about_ca_system_score_gemma":0.00009589923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001944761,"about_ca_topic_score_gemma":0.0007533113,"domain_scores_codex":[0.999293,0.00005841814,0.0001520633,0.0002388477,0.00009213646,0.0001654964],"domain_scores_gemma":[0.9995726,0.000002312808,0.00003125043,0.0002000298,0.0001316547,0.0000620959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001115778,0.00007301284,0.02683343,0.00001030958,0.00001856386,0.000008368388,0.0001152798,0.008120781,0.9576086,0.005007664,0.001721621,0.0004711713],"study_design_scores_gemma":[0.002628795,0.0001515938,0.7105598,0.00005457093,0.00005220919,0.00005603269,0.001362601,0.03715133,0.1671956,0.0008418879,0.07889087,0.001054696],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774102,0.00262512,0.01901807,0.0001885704,0.0001140513,0.00006236519,0.00009187611,0.00001169388,0.0004780733],"genre_scores_gemma":[0.9952002,0.00009961429,0.003138659,0.0003202999,0.0001013768,0.00001233234,0.0003243704,0.0000131379,0.0007900273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.790413,"threshold_uncertainty_score":0.4139532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009515249119109294,"score_gpt":0.2759501511503696,"score_spread":0.2664349020312604,"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."}}