{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005912895,0.0008481996,0.0006761292,0.001214199,0.0004946959,0.001017202,0.0007698107,0.0008600107,0.001601612],"category_scores_gemma":[0.0005283469,0.0004215966,0.0006113776,0.001696839,0.0004427242,0.0008919197,0.00117295,0.00193318,0.003280628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008226564,"about_ca_system_score_gemma":0.0005499746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338341,"about_ca_topic_score_gemma":0.002322282,"domain_scores_codex":[0.9996328,0.00009583878,0.0000306588,0.0001025464,0.000112882,0.00002527091],"domain_scores_gemma":[0.9999039,0.00002496445,0.00001013939,0.00001531596,0.00003008306,0.00001562257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00016806,0.0000593112,0.0005004438,0.002103355,0.00008339655,0.0005443164,0.000237477,0.003637146,0.7590116,0.05159865,0.02023583,0.1618205],"study_design_scores_gemma":[0.00004225027,0.0002073053,0.002643276,0.0004279389,0.00005199207,0.001222556,0.0001228534,0.01133605,0.2847177,0.03670533,0.6623774,0.0001454067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02733999,0.1750337,0.7375213,0.005228522,0.003202963,0.0005781871,0.01492873,0.008529757,0.02763678],"genre_scores_gemma":[0.08614407,0.1719469,0.7026401,0.002130533,0.000989199,0.001277295,0.01242553,0.001033228,0.02141321],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002338341,"threshold_uncertainty_score":0.005968869,"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."}}