{"id":"W2558428302","doi":"10.1093/nar/gkw1058","title":"YMDB 2.0: a significantly expanded version of the yeast metabolome database","year":2016,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Genome Alberta; Canadian Institutes of Health Research; Alberta Innovates; Genome Canada","keywords":"Metabolome; Database; Biology; Saccharomyces cerevisiae; Reference database; Visualization; Bioinformatics; Computational biology; Yeast; Computer science; Metabolomics; Data mining; Genetics","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":[0.003777044,0.002523479,0.003154063,0.006170024,0.001281733,0.005274795,0.004405357,0.001420768,0.05121143],"category_scores_gemma":[0.008252683,0.001592342,0.002279237,0.009768859,0.0003022098,0.004339206,0.004265139,0.003198222,0.08026808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360116,"about_ca_system_score_gemma":0.004349948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009205256,"about_ca_topic_score_gemma":0.008377565,"domain_scores_codex":[0.9978693,0.0003378769,0.0004181129,0.0003707867,0.000786288,0.0002176574],"domain_scores_gemma":[0.9961764,0.0005051002,0.0003451896,0.0008721667,0.001622879,0.0004782462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00161899,0.0001136843,0.002547415,0.002838656,0.0002315756,0.0003071229,0.0001773744,0.001003342,0.01098541,0.003400305,0.8760238,0.1007524],"study_design_scores_gemma":[0.0001914318,0.00007257035,0.00288887,0.0003551345,0.0001056874,0.0002753909,0.00008234182,0.002429214,0.005981395,0.002909805,0.9845389,0.0001692633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.005455748,0.006048649,0.03350456,0.00144572,0.001324153,0.0002902106,0.856865,0.08059608,0.01446984],"genre_scores_gemma":[0.005078451,0.002480398,0.03616406,0.0005250966,0.0001616035,0.0002272018,0.9451024,0.005845055,0.004415716],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05121143,"threshold_uncertainty_score":0.1713193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492675432408771,"score_gpt":0.3169760547744653,"score_spread":0.2820493004503776,"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."}}