{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002478923,0.0002822374,0.0002626835,0.000779813,0.0002040175,0.0003882128,0.0001033631,0.0003117759,0.0004505097],"category_scores_gemma":[0.0004180328,0.0001199396,0.0001930132,0.0005352594,0.00015851,0.0002038126,0.0002794464,0.0001707798,0.000129118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008849116,"about_ca_system_score_gemma":0.0002363135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000814591,"about_ca_topic_score_gemma":0.001289414,"domain_scores_codex":[0.9997805,0.00006284284,0.00001427204,0.00006453952,0.00004658677,0.00003130651],"domain_scores_gemma":[0.9998822,0.00002835756,0.00002592828,0.000009093004,0.00003050803,0.00002377702],"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":[0.0007700736,0.00005154873,0.01460567,0.0001324142,0.00005356214,0.00007888598,0.00009197937,0.00009005532,0.9763619,0.00003415406,0.00004167701,0.00768811],"study_design_scores_gemma":[0.00006757356,0.002242713,0.4405977,0.00007614952,0.0002970247,0.001730998,0.0007536482,0.00407802,0.5471675,0.000324219,0.002615933,0.00004837862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930101,0.001787979,0.003488437,0.00005758094,0.00001019544,0.0000432605,0.001096294,0.00002406586,0.0004821915],"genre_scores_gemma":[0.9867705,0.001343396,0.009742065,0.00009083655,0.00001329546,0.00005992352,0.001536503,0.00001477206,0.0004286108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000814591,"threshold_uncertainty_score":0.001619756,"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."}}