{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000303054,0.0004988884,0.000391886,0.0007425397,0.0002945353,0.0004541516,0.0001647703,0.0004124602,0.000575288],"category_scores_gemma":[0.0004324224,0.0001695995,0.0003445238,0.0006400564,0.0003203016,0.0001698024,0.0003504725,0.0003426619,0.0001554318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123922,"about_ca_system_score_gemma":0.000288887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245116,"about_ca_topic_score_gemma":0.001960116,"domain_scores_codex":[0.999687,0.00005204113,0.00002245736,0.0001209365,0.00008060472,0.00003710698],"domain_scores_gemma":[0.9998658,0.00002344536,0.00002979383,0.00001468133,0.00004785709,0.00001831525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002210413,0.0002499992,0.04302894,0.0001545021,0.0002194038,0.0002956965,0.0002583907,0.0001768821,0.9396175,0.00008821696,0.0003087316,0.01339127],"study_design_scores_gemma":[0.0001188254,0.003714664,0.4109685,0.00007255331,0.0007544915,0.002158982,0.0008376478,0.004377384,0.5696155,0.0002920638,0.006984888,0.0001044258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905998,0.001382379,0.005268087,0.00007703563,0.00003665886,0.00007562053,0.002073458,0.00006282089,0.0004241775],"genre_scores_gemma":[0.9806325,0.00119441,0.01216961,0.0004091296,0.00003202545,0.0001715852,0.003636214,0.00005298652,0.001701467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001245116,"threshold_uncertainty_score":0.002475798,"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."}}