{"id":"W2805232521","doi":"10.1186/s40168-018-0458-8","title":"Fecal Aliquot Straw Technique (FAST) allows for easy and reproducible subsampling: assessing interpersonal variation in trimethylamine-N-oxide (TMAO) accumulation","year":2018,"lang":"en","type":"article","venue":"Microbiome","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Graduate Education; National Institute of Diabetes and Digestive and Kidney Diseases; U.S. National Library of Medicine; National Institute on Aging; National Institute of Food and Agriculture; National Institutes of Health; University of Wisconsin-Madison; U.S. Department of Agriculture","keywords":"Trimethylamine N-oxide; Trimethylamine; Straw; Feces; Biology; Variation (astronomy); Microbial ecology; Microbiology; Biochemistry; Genetics; Bacteria; Agronomy; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007367069,0.0001784875,0.0001895532,0.0001585709,0.0001167404,0.00007109452,0.0001172498,0.0002619862,0.00001125814],"category_scores_gemma":[0.00009083498,0.0001867848,0.00005951166,0.0001606973,0.00009012442,0.00001839708,0.00007751782,0.0001017997,0.00000363501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006034941,"about_ca_system_score_gemma":0.0001358767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000138916,"about_ca_topic_score_gemma":0.0001347346,"domain_scores_codex":[0.9985867,0.0000697108,0.000328473,0.0006487503,0.00004641033,0.0003199117],"domain_scores_gemma":[0.9993793,0.00002242548,0.0001240533,0.0002942185,0.0001224692,0.00005753179],"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":[0.0001198233,0.00006845973,0.001457123,0.00005961855,0.00001614051,6.033299e-7,0.0001390068,0.000002953416,0.996721,0.00003817225,0.0002508905,0.001126222],"study_design_scores_gemma":[0.001050019,0.0003480326,0.03244206,0.00006702089,0.00001645952,0.0000447464,0.00004992361,0.0001823686,0.9520493,0.00009591084,0.01338055,0.0002736631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9224523,0.0001702262,0.07632613,0.0001742911,0.0001228694,0.0006257851,0.00003664117,0.00002068055,0.00007112083],"genre_scores_gemma":[0.9724082,0.00001439938,0.02635273,0.0002116923,0.0002760671,0.00004319815,0.0003566833,0.00003072237,0.0003062788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0499734,"threshold_uncertainty_score":0.7616863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0376369849143614,"score_gpt":0.3525160219147822,"score_spread":0.3148790370004208,"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."}}