{"id":"W2089502937","doi":"10.1371/journal.pgen.1001024","title":"Genome-Wide Screen in Saccharomyces cerevisiae Identifies Vacuolar Protein Sorting, Autophagy, Biosynthetic, and tRNA Methylation Genes Involved in Life Span Regulation","year":2010,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health; National Human Genome Research Institute; University of Toronto","keywords":"Biology; Saccharomyces cerevisiae; Gene; Genetics; Genome; Model organism; Mutant; Vacuolar protein sorting; Mutation; Longevity","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":[0.0002146215,0.0004948091,0.0003991916,0.0005532504,0.0002340026,0.0002680284,0.0002384035,0.0002438914,0.0005930453],"category_scores_gemma":[0.0002244348,0.0001388069,0.0003480681,0.0005551708,0.0001592087,0.00006228288,0.0002032602,0.0002830377,0.000192445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002614766,"about_ca_system_score_gemma":0.0003075349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001577147,"about_ca_topic_score_gemma":0.003977363,"domain_scores_codex":[0.9999014,0.00001235325,0.00001092233,0.00002809736,0.00003150033,0.00001575011],"domain_scores_gemma":[0.9998295,0.00004679701,0.00003643644,0.00001434203,0.00002364254,0.00004922907],"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":[0.0001802792,0.00003171092,0.002715531,0.00005247228,0.00003786836,0.0001551469,0.00001571271,0.000136244,0.9942802,0.00003665438,0.00009350048,0.002264746],"study_design_scores_gemma":[0.00007118324,0.0009040428,0.1605417,0.00001986312,0.00039232,0.001465001,0.0001250189,0.002549195,0.8276324,0.0001709375,0.006099476,0.00002894642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905911,0.001309365,0.002680856,0.00005676357,0.00001426174,0.0000436515,0.004566781,0.0001949783,0.0005421756],"genre_scores_gemma":[0.9787523,0.001401818,0.007604189,0.00012509,0.000007259175,0.00006356677,0.01025446,0.00005709827,0.001734247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001577147,"threshold_uncertainty_score":0.00313592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413672881804881,"score_gpt":0.2289789771707695,"score_spread":0.2148422483527206,"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."}}