{"id":"W2752006743","doi":"10.1101/pdb.top083576","title":"Metabolomics in Yeast","year":2017,"lang":"en","type":"article","venue":"Cold Spring Harbor Protocols","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Yeast; Metabolomics; Budding yeast; Computational biology; Metabolic network; Biology; Function (biology); Saccharomyces cerevisiae; Model organism; Systems biology; Regulator; Cell metabolism; Nutrient sensing; Cell biology; Cell; Bioinformatics; Genetics; Gene; Signal transduction","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002360466,0.0001057232,0.0001216037,0.00003327887,0.00009345805,0.00007483249,0.0002881846,0.00009064326,0.00000475351],"category_scores_gemma":[0.0001620015,0.0001068015,0.00004438104,0.00002682187,0.0000394153,0.00000612474,0.0001118228,0.00008927213,0.0000144277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001002434,"about_ca_system_score_gemma":0.00003146906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000033775,"about_ca_topic_score_gemma":0.00001424195,"domain_scores_codex":[0.9993393,0.00001490183,0.0001361454,0.0002669849,0.00005647074,0.0001861363],"domain_scores_gemma":[0.9991705,5.499973e-7,0.00007787324,0.0006766616,0.00003165181,0.00004278317],"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":[0.00002679631,0.00003200795,0.003564315,0.00002316747,0.000008307953,0.000001568402,0.00000265849,0.00003662218,0.994695,0.001177315,0.00008824242,0.0003440006],"study_design_scores_gemma":[0.0003945211,0.00003039101,0.04583766,0.00003279066,0.000002800897,5.135642e-7,7.679035e-7,0.0000210833,0.7071843,0.000003030519,0.2463747,0.0001175635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821904,0.0001655975,0.0008028104,0.0001483486,0.0002999221,0.01586013,0.000008645932,0.00003504906,0.0004891047],"genre_scores_gemma":[0.9884922,0.00001951912,0.001544124,0.00003042068,0.0004862438,0.009058332,7.724807e-7,0.00002127644,0.0003471325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2875108,"threshold_uncertainty_score":0.4355237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543665358279448,"score_gpt":0.2739926843280422,"score_spread":0.2585560307452477,"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."}}