{"id":"W2952552019","doi":"10.1038/srep31519","title":"Common methods for fecal sample storage in field studies yield consistent signatures of individual identity in microbiome sequencing data","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of General Medical Sciences; National Institute on Aging; National Institutes of Health; National Science Foundation","keywords":"Microbiome; Gut microbiome; Biology; Feces; Phylogenetic tree; Phylogenetic diversity; Sample (material); Evolutionary biology; Zoology; Ecology; Bioinformatics; Genetics; Chemistry","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":[0.02649155,0.002177968,0.001453612,0.002986639,0.003981421,0.003898204,0.002426021,0.001865523,0.00615751],"category_scores_gemma":[0.03613023,0.001106614,0.001554147,0.003673996,0.004233865,0.002588395,0.003812201,0.002108971,0.004174627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106095,"about_ca_system_score_gemma":0.001981831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377998,"about_ca_topic_score_gemma":0.005884842,"domain_scores_codex":[0.9677433,0.01156749,0.005141932,0.006878405,0.007624338,0.001044657],"domain_scores_gemma":[0.9627641,0.009376603,0.008443858,0.01141881,0.007309724,0.000686812],"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":[0.004243313,0.001638457,0.1575157,0.004726881,0.001573833,0.001152531,0.005635639,0.002544665,0.5662977,0.005797458,0.01357323,0.2353006],"study_design_scores_gemma":[0.0003930823,0.002989506,0.2698762,0.002464939,0.001609797,0.003800535,0.002789843,0.003670981,0.6148866,0.005961669,0.09104107,0.0005156681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3911566,0.009366425,0.5561203,0.002653821,0.002699222,0.009425865,0.01260137,0.003496625,0.01247979],"genre_scores_gemma":[0.298504,0.005017077,0.6599392,0.001794844,0.000738251,0.01461676,0.0132401,0.002151539,0.003998343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02649155,"threshold_uncertainty_score":0.1401024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139983542688531,"score_gpt":0.4231257302634561,"score_spread":0.3091273759946029,"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."}}