{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006031745,0.0001208649,0.0001590311,0.0002142856,0.0002979687,0.0003266366,0.0003235725,0.0002236715,0.0004122295],"category_scores_gemma":[0.0009942311,0.00009927514,0.0002343047,0.0002201968,0.0002651628,0.0002194201,0.0003171189,0.0005588332,0.00008311156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007042026,"about_ca_system_score_gemma":0.0002020329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199909,"about_ca_topic_score_gemma":0.00237243,"domain_scores_codex":[0.9998069,0.00004569646,0.00002249133,0.00006478297,0.00003972999,0.00002040017],"domain_scores_gemma":[0.9995566,0.0001778812,0.00008332895,0.0000845726,0.0000460681,0.00005156598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003874287,0.0002977873,0.06436859,0.000093967,0.0001689563,0.0002176339,0.0003273973,0.009912497,0.8951486,0.001739722,0.0002286154,0.02710873],"study_design_scores_gemma":[0.000122489,0.002561034,0.5353055,0.00004134827,0.0002411769,0.0008698411,0.0008007485,0.07810782,0.3706473,0.00375892,0.007397948,0.0001459403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998467,0.0000819523,0.00114623,0.00001523107,0.000003319673,0.000005768576,0.00007514509,0.00001353837,0.000191754],"genre_scores_gemma":[0.9958783,0.0001084042,0.00321595,0.00004131137,0.000002314119,0.00003693654,0.0003940373,0.00001265757,0.0003100819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001199909,"threshold_uncertainty_score":0.00510937,"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."}}