{"id":"W2523811837","doi":"10.1016/j.cell.2016.09.007","title":"Functional Metabolomics Describes the Yeast Biosynthetic Regulome","year":2016,"lang":"en","type":"article","venue":"Cell","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":193,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Université de Genève; University of Toronto; European Commission; Wellcome Trust; Francis Crick Institute; Cancer Research UK","keywords":"Biology; Metabolomics; Gene; Computational biology; Metabolome; Chromatin; Function (biology); Saccharomyces cerevisiae; Genome; Functional genomics; Genetics; Genomics; Bioinformatics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001269349,0.00008797857,0.00006256466,0.00001190133,0.00007437302,0.00001713829,0.0001514143,0.00008016088,0.00008388229],"category_scores_gemma":[0.00001093205,0.00004516475,0.00006932153,0.00002931475,0.0001029538,0.000002831246,0.00008105473,0.00003848824,0.0001517062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000608319,"about_ca_system_score_gemma":0.00003082513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001615583,"about_ca_topic_score_gemma":0.000003533555,"domain_scores_codex":[0.9995105,0.00001857314,0.0001201462,0.0001274428,0.00006071902,0.00016266],"domain_scores_gemma":[0.9995731,0.00001112139,0.00004747184,0.0002950997,0.00003039928,0.00004281558],"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":[0.00003563385,0.00002300642,0.00006530961,0.000005498815,0.00002794995,3.732562e-7,0.00002147934,0.00001640394,0.9539078,0.0005765519,0.0322738,0.01304614],"study_design_scores_gemma":[0.0005165699,0.00007062975,0.0007417872,0.000008506094,0.00002836627,0.00001998509,0.00007803952,0.00007887635,0.5390313,0.00172921,0.4574955,0.0002012066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.937942,0.00225369,0.04183005,0.001970034,0.0009416095,0.0002258943,0.00007536437,0.00002253011,0.01473886],"genre_scores_gemma":[0.9909532,0.0002583795,0.0002775702,0.000395094,0.0003248579,0.00000757482,0.0000180455,0.00001183108,0.007753423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4252217,"threshold_uncertainty_score":0.1949927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009503050152430456,"score_gpt":0.1840572262695414,"score_spread":0.174554176117111,"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."}}