{"id":"W2028211999","doi":"10.1016/j.chom.2014.12.004","title":"Murine Gut Microbiota—Diet Trumps Genes","year":2015,"lang":"en","type":"letter","venue":"Cell Host & Microbe","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biology; Gut flora; Host (biology); Microbiome; Population; Metagenomics; Genotype; Gene; Gut microbiome; Genetics; Zoology; Immunology","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":[0.001057788,0.0005509011,0.0005121852,0.0002868352,0.0006306145,0.001004598,0.0003875094,0.005560652,0.002800743],"category_scores_gemma":[0.002424489,0.0002861341,0.0004435522,0.0001206499,0.001060791,0.0005646349,0.0005401634,0.006309899,0.00115678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008847698,"about_ca_system_score_gemma":0.0004008966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003671729,"about_ca_topic_score_gemma":0.0007733517,"domain_scores_codex":[0.9995388,0.0001658731,0.00003249957,0.00007410435,0.0001223074,0.00006644458],"domain_scores_gemma":[0.9989867,0.0004883757,0.0001397524,0.0001126635,0.00009560692,0.000176822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.005823484,0.0005735439,0.007251446,0.0003373923,0.0001953539,0.01294223,0.0001903943,0.0006963463,0.1109921,0.02456821,0.7198647,0.1165648],"study_design_scores_gemma":[0.001539707,0.001850637,0.01409326,0.0003647089,0.0003165876,0.01095427,0.0003404662,0.003773177,0.06657823,0.0297705,0.8702626,0.0001559262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04077427,0.01452252,0.00350961,0.8938768,0.03585024,0.00005027428,0.0003435263,0.0004894602,0.01058332],"genre_scores_gemma":[0.2914226,0.01435233,0.004895432,0.5999809,0.0383035,0.0001873304,0.0002511244,0.0001665349,0.05044022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005560652,"threshold_uncertainty_score":0.009369373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188058675322325,"score_gpt":0.2374953945829126,"score_spread":0.2256148078296893,"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."}}