{"id":"W2592521458","doi":"10.1186/s40168-017-0246-x","title":"Microbiome and metabolome modifying effects of several cardiovascular disease interventions in apo-E−/− mice","year":2017,"lang":"en","type":"article","venue":"Microbiome","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; APC Microbiome Institute; Ireland Canada University Foundation; Teagasc; Science Foundation Ireland; Enterprise Ireland; University of Alberta","keywords":"Metabolome; Biology; Microbiome; Lactobacillus reuteri; Gut flora; Butyrate; Metabolomics; Cholesterol; Endocrinology; Internal medicine; Biochemistry; Lactobacillus; Bioinformatics; Medicine","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":[0.000315998,0.000658791,0.0005900192,0.0006909957,0.0002212459,0.0004432863,0.0002227407,0.0006132214,0.001321704],"category_scores_gemma":[0.000207106,0.0002937109,0.0006083385,0.0002638323,0.0004493998,0.000292917,0.0003380408,0.001013348,0.0002199865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002393747,"about_ca_system_score_gemma":0.0002666042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003999048,"about_ca_topic_score_gemma":0.0008003818,"domain_scores_codex":[0.9997272,0.00003993863,0.00002546574,0.00009253558,0.00006034984,0.0000545285],"domain_scores_gemma":[0.9996856,0.00002495372,0.0001178879,0.0000359718,0.00003126768,0.0001044087],"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":[0.002595054,0.0001802987,0.001101465,0.0000454091,0.00002983388,0.00003683448,0.00001683865,0.00004060577,0.9941888,0.00002674057,0.00003007335,0.001707973],"study_design_scores_gemma":[0.0003291528,0.008521866,0.09035303,0.00005267147,0.0004014572,0.0004810714,0.0002485786,0.001312028,0.8947084,0.0002666038,0.003278498,0.0000466582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964643,0.0006509503,0.001358739,0.000141605,0.00003552636,0.00003727728,0.0009390106,0.00006059287,0.0003120325],"genre_scores_gemma":[0.9863937,0.001272321,0.005674184,0.0003600122,0.00003445484,0.0002317655,0.001970706,0.00007887935,0.003983815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001321704,"threshold_uncertainty_score":0.004421532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664517362236162,"score_gpt":0.2748328217110517,"score_spread":0.25818764808869,"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."}}