{"id":"W2138873419","doi":"10.3390/metabo3030592","title":"Evaluation of Extraction Protocols for Simultaneous Polar and Non-Polar Yeast Metabolite Analysis Using Multivariate Projection Methods","year":2013,"lang":"en","type":"article","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Metabolomics; Metabolite; Chromatography; Chemistry; Multivariate statistics; Extraction (chemistry); Biochemistry; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00246374,0.0002290002,0.0005194235,0.0003179019,0.000140453,0.00005880096,0.00009803315,0.0001376223,0.00002701868],"category_scores_gemma":[0.00137106,0.0001983273,0.000228352,0.0004956939,0.00006403448,0.0000277088,0.00006950845,0.00007076289,8.890711e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002107709,"about_ca_system_score_gemma":0.00007637106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005437941,"about_ca_topic_score_gemma":0.0000263058,"domain_scores_codex":[0.9980975,0.0004330361,0.0004372685,0.0004676374,0.0002952583,0.0002692664],"domain_scores_gemma":[0.9980227,0.00007413192,0.0003578784,0.0003270917,0.001151387,0.00006686291],"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":[0.00004919517,0.00008665871,0.002162231,0.00004185537,0.001393581,5.055114e-8,0.0000816587,0.0005530019,0.973464,0.00008974433,0.000007014375,0.02207108],"study_design_scores_gemma":[0.001175969,0.0001546385,0.02688733,0.000008028432,0.00454136,0.000003854847,0.0002096857,0.1365825,0.8229443,0.0007161786,0.006478477,0.0002977058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8248299,0.004607921,0.1614023,0.00001837818,0.0001215813,0.008761717,0.0001548975,0.0000122307,0.00009110803],"genre_scores_gemma":[0.8179978,0.0001338046,0.1786267,0.00001803859,0.0001769049,0.002831393,0.000109696,0.00002555119,0.00008013769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1505197,"threshold_uncertainty_score":0.8087554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04464487467844559,"score_gpt":0.4025710424243269,"score_spread":0.3579261677458813,"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."}}