{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003057716,0.0002476541,0.0002799478,0.00007171125,0.0003331291,0.0002271608,0.0004462472,0.0001821426,0.00001491578],"category_scores_gemma":[0.0001947666,0.0002475234,0.0002122289,0.00006329981,0.00006121712,0.000026933,0.00008084143,0.0001255573,0.00001033809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001493626,"about_ca_system_score_gemma":0.0000413358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005108684,"about_ca_topic_score_gemma":0.000003511565,"domain_scores_codex":[0.9986428,0.00002683696,0.0002753345,0.0005913721,0.0001272432,0.0003363885],"domain_scores_gemma":[0.998454,0.00000624003,0.0002762087,0.00105523,0.000106989,0.0001012995],"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":[0.000169845,0.00005196016,0.000602725,0.00009609576,0.00009319251,8.819227e-7,0.000003001589,0.000006499782,0.9978914,0.0006597533,0.0002301695,0.0001944893],"study_design_scores_gemma":[0.0005755946,0.0001682626,0.006424438,0.00006851624,0.00003158785,6.92452e-7,0.000001496963,0.00001139219,0.727278,0.0000132006,0.2652161,0.0002107047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9083226,0.002463504,0.04179329,0.000362762,0.00119666,0.04515845,0.0002200902,0.0002088097,0.0002738648],"genre_scores_gemma":[0.9450927,0.0001777203,0.02248491,0.00006063594,0.003088501,0.02881338,0.00001828811,0.0000746072,0.0001892928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2706134,"threshold_uncertainty_score":0.9999977,"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."}}