{"id":"W4224305838","doi":"10.1371/journal.pone.0267093","title":"Method for absolute quantification of short chain fatty acids via reverse phase chromatography mass spectrometry","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; University of Calgary; Alberta Innovates; Canterbury Medical Research Foundation; Canada Foundation for Innovation; International Microbiome Centre, University of Calgary","keywords":"Chromatography; Mass spectrometry; Chemistry; Isotope dilution; Label-free quantification; Derivatization; Detection limit; Propionate; Quantitative analysis (chemistry); Liquid chromatography–mass spectrometry; Quantitative proteomics; Biochemistry; Proteomics","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":[0.003529642,0.003486755,0.001688818,0.004148646,0.001251461,0.001261859,0.002184514,0.00283233,0.004867549],"category_scores_gemma":[0.004612354,0.001413572,0.001468503,0.001970227,0.001241216,0.001445713,0.001741548,0.003657632,0.006462235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098273,"about_ca_system_score_gemma":0.002230637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256221,"about_ca_topic_score_gemma":0.002811296,"domain_scores_codex":[0.9921979,0.001221165,0.0005681263,0.002434246,0.003190216,0.0003882704],"domain_scores_gemma":[0.9973516,0.0007378283,0.000335709,0.0004687378,0.0009847779,0.0001211886],"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":[0.0001762541,0.0001732214,0.001042108,0.0005365179,0.0001286381,0.0001341108,0.00009496912,0.0003983019,0.9564044,0.00144988,0.001939152,0.03752241],"study_design_scores_gemma":[0.00007380756,0.0004860346,0.002632669,0.0001564531,0.0001224707,0.000615389,0.00007239615,0.01261355,0.9485852,0.001128405,0.03335914,0.0001545415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0201696,0.004295206,0.9624703,0.0003176501,0.0006291203,0.00131947,0.002126581,0.004964048,0.003707938],"genre_scores_gemma":[0.05918704,0.005729647,0.9179462,0.0008041971,0.000149626,0.006378924,0.003463524,0.0007212723,0.005619627],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004867549,"threshold_uncertainty_score":0.01866674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03673185747797638,"score_gpt":0.2902832272972699,"score_spread":0.2535513698192935,"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."}}