{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005170309,0.0003245284,0.0003376988,0.000235578,0.000105949,0.0001378223,0.0003094597,0.0003726585,0.0000471759],"category_scores_gemma":[0.000312866,0.0003526136,0.00007009224,0.0001810119,0.0001535578,0.0000177198,0.0002181954,0.0002737641,0.00001027337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002004419,"about_ca_system_score_gemma":0.0001039235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007150658,"about_ca_topic_score_gemma":0.001885937,"domain_scores_codex":[0.9978313,0.0001642497,0.0006445055,0.0006629453,0.0002750085,0.0004219827],"domain_scores_gemma":[0.9988696,0.00002744717,0.0002591326,0.0005648656,0.0001208514,0.0001581094],"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":[0.00002491169,0.00009637834,0.08924358,0.00007452213,0.0000330905,0.000002228169,0.0004464703,0.0004571452,0.9085575,0.00002395522,0.00000846644,0.001031715],"study_design_scores_gemma":[0.0005937059,0.0001110935,0.1771797,0.00003449243,0.00003854443,0.000001986584,0.0001320665,0.003970781,0.8159592,0.000826919,0.0007639477,0.0003875562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942043,0.003751032,0.000759099,0.0002657947,0.0001154332,0.000783726,0.00001587956,0.000028177,0.00007652542],"genre_scores_gemma":[0.9944623,0.0006914089,0.004160111,0.00009872701,0.0002484884,0.00004492593,0.0001226712,0.00006437569,0.0001070307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09259831,"threshold_uncertainty_score":0.9998926,"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."}}