{"id":"W2751830806","doi":"10.1101/pdb.prot089086","title":"Metabolite Extraction from <i>Saccharomyces cerevisiae</i> for Liquid Chromatography–Mass Spectrometry","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":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Metabolite; Chromatography; Chemistry; Mass spectrometry; Extraction (chemistry); Saccharomyces cerevisiae; Liquid chromatography–mass spectrometry; Metabolomics; Biochemistry; Yeast","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":[0.0003265977,0.001446406,0.000726383,0.001074614,0.0005532652,0.0005647078,0.0005079621,0.0004137917,0.004111341],"category_scores_gemma":[0.0004876788,0.0005006748,0.0005851491,0.001172118,0.0002213932,0.0003501821,0.0003808663,0.001235747,0.004566933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004088764,"about_ca_system_score_gemma":0.0006038101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00156077,"about_ca_topic_score_gemma":0.003836786,"domain_scores_codex":[0.9996743,0.00003132854,0.00003994834,0.0001108583,0.00009959876,0.00004397461],"domain_scores_gemma":[0.9997924,0.00002947358,0.0000223734,0.00005187531,0.00007843941,0.00002546698],"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":[0.00005764297,0.00001990863,0.0001321927,0.00006307754,0.00001074198,0.0000584775,0.000008663693,0.00006303371,0.9964641,0.00007634283,0.0004055686,0.002640423],"study_design_scores_gemma":[0.00002535198,0.0001183213,0.002265573,0.00002722896,0.00002672855,0.0001604153,0.0000195732,0.0007316428,0.9782028,0.0001603728,0.01824236,0.00001976972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4935816,0.01306221,0.3443978,0.0009813863,0.0009616917,0.004126952,0.09532546,0.01316389,0.03439914],"genre_scores_gemma":[0.444302,0.013441,0.3347492,0.001298823,0.0002516542,0.002914852,0.1682161,0.00371194,0.03111458],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004111341,"threshold_uncertainty_score":0.01375383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425510677223372,"score_gpt":0.2834946466785225,"score_spread":0.2692395399062888,"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."}}