{"id":"W4319594984","doi":"10.1038/s41467-023-36139-2","title":"Macroevolutionary diversity of traits and genomes in the model yeast genus Saccharomyces","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Université de Montréal; Université Laval","funders":"National Institute of General Medical Sciences; Great Lakes Bioenergy Research Center; Office of Science; National Institutes of Health; National Institute of Food and Agriculture; Division of Graduate Education; Wisconsin Alumni Research Foundation; Generalitat Valenciana; European Commission; Universitat de València; Biological and Environmental Research; National Natural Science Foundation of China; University of Wisconsin-Madison; Norges Forskningsråd; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Agriculture; National Science Foundation","keywords":"Biology; Evolutionary biology; Phylogenetic tree; Lineage (genetic); Genome; Phylogenetics; Saccharomyces; Population; Genetic diversity; Biodiversity; Genus; Saccharomyces cerevisiae; Genetics; Gene; Ecology","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":[0.000209017,0.0002143575,0.0002959286,0.001303142,0.0004337398,0.0004646407,0.0002042814,0.000238534,0.0005206058],"category_scores_gemma":[0.0006097186,0.0001407633,0.0004016751,0.001521285,0.0002468965,0.000328315,0.0005238206,0.0003448545,0.0001463466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109981,"about_ca_system_score_gemma":0.0001816717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002318867,"about_ca_topic_score_gemma":0.004571351,"domain_scores_codex":[0.9998753,0.00002192663,0.00001096178,0.00005311517,0.00002461861,0.00001404932],"domain_scores_gemma":[0.9997682,0.00007482869,0.00005183613,0.00005103336,0.00002164995,0.00003239352],"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":[0.001441636,0.0002123051,0.4364522,0.0007476144,0.000558409,0.0008003059,0.001549898,0.0360471,0.4548542,0.003352555,0.002455718,0.06152806],"study_design_scores_gemma":[0.00006116142,0.0004209908,0.8852728,0.0001003006,0.0002798211,0.001608478,0.001392746,0.05284901,0.02723193,0.007171789,0.02349806,0.0001129098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933081,0.000478883,0.001638304,0.00002724143,0.000003064165,0.000005321915,0.004057975,0.00007673024,0.0004043753],"genre_scores_gemma":[0.9716176,0.0006620596,0.007518388,0.00004122519,0.00000482115,0.00002878427,0.01987111,0.00007420265,0.0001818708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002318867,"threshold_uncertainty_score":0.004610717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05199305415678124,"score_gpt":0.2717363981059259,"score_spread":0.2197433439491447,"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."}}