{"id":"W3126277868","doi":"10.1016/j.chom.2021.01.003","title":"Rapid transcriptional and metabolic adaptation of intestinal microbes to host immune activation","year":2021,"lang":"en","type":"article","venue":"Cell Host & Microbe","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institutes of Health; MedImmune; Celgene; Bristol-Myers Squibb; National Institute of Diabetes and Digestive and Kidney Diseases; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Canadian Institutes of Health Research; Novartis; Cancer Research Institute","keywords":"Biology; Immune system; Metabolome; Transcriptome; Bacteria; Microbiology; Microbiome; Effector; Immunity; Flagellin; Metabolite; Innate immune system; Cell biology; Gene; Immunology; Gene expression; Genetics; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000284352,0.000266484,0.0004292394,0.0002768887,0.0001910398,0.0007521653,0.0001672931,0.0004235864,0.003181721],"category_scores_gemma":[0.000331176,0.0002379931,0.0004123478,0.0002385335,0.0003343108,0.0004380193,0.0005723221,0.0007218214,0.0007436784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00033382,"about_ca_system_score_gemma":0.0002323503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003367662,"about_ca_topic_score_gemma":0.0007733831,"domain_scores_codex":[0.9996824,0.00003426888,0.000009605121,0.0001155131,0.00005939483,0.00009875353],"domain_scores_gemma":[0.9998061,0.00003108546,0.00003163358,0.0000368013,0.0000378595,0.00005658345],"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":[0.0005745482,0.0000249964,0.00106885,0.00002999341,0.000006747588,0.00005261193,0.00002556775,0.00004435721,0.9948103,0.0003235717,0.0001382222,0.002900207],"study_design_scores_gemma":[0.00009805355,0.0009129199,0.3179275,0.00005565975,0.0000480186,0.0008419686,0.0005170276,0.002019111,0.6673816,0.001409121,0.008746168,0.00004287153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790637,0.004658571,0.009069545,0.0006455041,0.0002245619,0.00005768608,0.00169662,0.0002189288,0.004365022],"genre_scores_gemma":[0.9884363,0.001127342,0.003407408,0.0002640965,0.00009689086,0.00007903048,0.001417362,0.00006271938,0.005108761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003181721,"threshold_uncertainty_score":0.01064396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235279043293767,"score_gpt":0.2332244928425763,"score_spread":0.2208717024096386,"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."}}