{"id":"W4310056236","doi":"10.1080/19490976.2022.2149047","title":"Diet standardization reduces intra-individual microbiome variation","year":2022,"lang":"en","type":"article","venue":"Gut Microbes","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Center for Advancing Translational Sciences; Agence Nationale de la Recherche; National Institute of Diabetes and Digestive and Kidney Diseases; Kenneth Rainin Foundation; University of Pennsylvania","keywords":"Biology; Microbiome; Variation (astronomy); Standardization; Gut microbiome; Genetic variation; Computational biology; Genetics; Bioinformatics; Biotechnology; Gene","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":[0.000344452,0.0001557746,0.0001396019,0.00009219268,0.0004481169,0.0000537504,0.0002544163,0.0000881856,0.0002682574],"category_scores_gemma":[0.0000205681,0.0001718592,0.00007606558,0.0001806654,0.00004854348,0.000006007119,0.0002739194,0.0001344216,0.00001965076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006388323,"about_ca_system_score_gemma":0.0001895989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003578168,"about_ca_topic_score_gemma":0.00002311997,"domain_scores_codex":[0.9987948,0.0001359794,0.0002503287,0.0003888782,0.000124838,0.0003051898],"domain_scores_gemma":[0.999498,0.000006473903,0.0001195928,0.0002489923,0.00006859159,0.00005836159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001201112,0.00008241068,0.0001675449,0.00001614347,0.0000470489,0.000001524132,0.0004152149,0.0001109099,0.9642954,0.00007549806,0.03392851,0.0007397223],"study_design_scores_gemma":[0.0009008891,0.0008029249,0.008154683,0.00000979154,0.00004510324,0.00007699348,0.0003661434,0.000007650243,0.4441265,0.0001015999,0.5450193,0.0003883571],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944402,0.001369,0.001626505,0.0006192536,0.0005624118,0.0002773139,0.0007501544,0.000033985,0.0003211674],"genre_scores_gemma":[0.9940736,0.0001649612,0.001542952,0.0007788388,0.0002540759,0.00003116492,0.002330197,0.00003088042,0.0007933449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5201688,"threshold_uncertainty_score":0.7008215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00851464939047555,"score_gpt":0.24316679229719,"score_spread":0.2346521429067144,"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."}}