{"id":"W4383536062","doi":"10.3390/metabo13070828","title":"Untargeted Metabolomic Profiling of Aqueous and Lyophilized Pooled Human Feces from Two Diet Cohorts Using Two-Dimensional Gas Chromatography Coupled with Time-of-Flight Mass Spectrometry","year":2023,"lang":"en","type":"article","venue":"Metabolites","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada; National Institute of Standards and Technology; Mitacs; Genome Alberta; DNA Genotek","keywords":"Feces; Metabolomics; Metabolome; Human feces; Gas chromatography–mass spectrometry; Food science; Mass spectrometry; Gas chromatography; Biology; Chemistry; Chromatography; Microbiology","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":[0.0003558269,0.0002949796,0.0007407495,0.0002934432,0.0001358465,0.00002140694,0.0001558709,0.0001146905,0.0000717133],"category_scores_gemma":[0.00003267306,0.0002441176,0.0001456479,0.0005386976,0.0002292222,0.000009715456,0.0001098176,0.0001123219,0.00000463847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008314636,"about_ca_system_score_gemma":0.0001067602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003914824,"about_ca_topic_score_gemma":0.00002844583,"domain_scores_codex":[0.9982173,0.0001382867,0.000513734,0.000522751,0.0002095731,0.0003983461],"domain_scores_gemma":[0.9990006,0.00005138946,0.00033366,0.0003585135,0.0001421969,0.0001136397],"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":[0.0003724667,0.0000533474,0.03156916,0.00006666304,0.000514695,0.000007069902,0.00004584221,0.0001591152,0.9671059,0.00006314343,0.00002328002,0.00001931322],"study_design_scores_gemma":[0.00228721,0.0002186668,0.02382974,0.00005358037,0.0003960325,0.00001240322,0.00004608209,0.001547464,0.9709055,0.000346463,0.00007117329,0.0002856964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881958,0.01096501,0.0000578462,0.00002591771,0.00007515711,0.000380506,0.0002336411,0.00003799664,0.00002809171],"genre_scores_gemma":[0.9817923,0.0002373545,0.01675533,0.00004319572,0.0001303754,0.000008831193,0.0009572503,0.00004617551,0.00002913276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01669748,"threshold_uncertainty_score":0.9954826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009172186667674727,"score_gpt":0.2626029132102806,"score_spread":0.2534307265426059,"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."}}