{"id":"W1988594338","doi":"10.1021/pr5011247","title":"Metabolomic Analysis of Human Fecal Microbiota: A Comparison of Feces-Derived Communities and Defined Mixed Communities","year":2015,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Canadian Institutes of Health Research; University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Metabolome; Metabolomics; Metabolite; Biology; Gut flora; Metabolite profiling; Bacteria; Human feces; Feces; Microbiology; Anaerobic bacteria; Human microbiome; Microbial population biology; Computational biology; Microbiome; Biochemistry; Genetics; Bioinformatics","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":[0.003064032,0.0001302547,0.0007562737,0.0007262963,0.0001665719,0.00003193107,0.0004655732,0.000157633,0.00001868213],"category_scores_gemma":[0.0001071147,0.0001092954,0.0001869013,0.000440149,0.0006753893,0.00001066363,0.0003361671,0.0005383726,6.425799e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003637348,"about_ca_system_score_gemma":0.0003264164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210136,"about_ca_topic_score_gemma":0.001338569,"domain_scores_codex":[0.9973641,0.00120256,0.0007298132,0.00008603371,0.0003327901,0.0002847109],"domain_scores_gemma":[0.997614,0.0001049972,0.0004935477,0.0003717778,0.00126312,0.0001525221],"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":[0.0004262067,0.0002499311,0.02650704,0.0001464669,0.0008214784,0.000001148034,0.002732316,0.00002431745,0.9682512,0.00004398471,0.0006929071,0.0001030161],"study_design_scores_gemma":[0.002598804,0.004141517,0.09211144,0.0001662568,0.000453111,0.00004333966,0.03350106,0.0001178151,0.8654991,0.0001129471,0.001043433,0.0002111731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952383,0.004119314,0.00009727982,0.0001629864,0.00003139655,0.0002208389,0.0000410919,0.000001676008,0.00008708673],"genre_scores_gemma":[0.9979391,0.0004409422,0.00143682,0.00001148642,0.00004060663,0.000004640386,0.00005965103,0.00001354905,0.0000531788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1027521,"threshold_uncertainty_score":0.4456939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2017559368453757,"score_gpt":0.44887709156345,"score_spread":0.2471211547180742,"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."}}