{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001680174,0.001116464,0.0004200323,0.001267495,0.000556417,0.0007160089,0.0006316557,0.0006440878,0.001847154],"category_scores_gemma":[0.001638987,0.0003534379,0.0005791053,0.0004964863,0.0007209854,0.0005624963,0.000734965,0.0006422973,0.0007956108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003545278,"about_ca_system_score_gemma":0.000770222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000989443,"about_ca_topic_score_gemma":0.002493859,"domain_scores_codex":[0.9988633,0.0002002656,0.00008511167,0.0002805217,0.0004809823,0.00008987363],"domain_scores_gemma":[0.9985239,0.0002380213,0.0005411658,0.0001683718,0.0004082671,0.0001203037],"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":[0.0002111636,0.0001082801,0.01486732,0.000220887,0.00006006549,0.0001720434,0.0001495138,0.0001787837,0.9634023,0.000176836,0.0003788477,0.02007396],"study_design_scores_gemma":[0.00002544461,0.001414691,0.08272192,0.0001041551,0.0001407291,0.001153656,0.0002735842,0.002223456,0.9039017,0.0003252263,0.00765989,0.00005556701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6766327,0.002822221,0.3111379,0.00035334,0.0003190646,0.001178563,0.00218999,0.001477351,0.003888923],"genre_scores_gemma":[0.6315086,0.002531474,0.3561833,0.0004655557,0.0001090916,0.001890297,0.003358571,0.0004612788,0.003491823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001847154,"threshold_uncertainty_score":0.008885741,"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."}}