The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
Gut microbiota remodeling reverses aging-associated inflammation and dysregulation of systemic bile acid homeostasis in mice sex-specifically
Open accessAbstract
Aging is usually characterized with inflammation and disordered bile acids (BAs) homeostasis, as well as gut dysbiosis. The pathophysiological changes during aging are also sexual specific. However, it remains unclear about the modulating process among gut microbiota, BA metabolism, and inflammation during aging. In this study, we established a direct link between gut microbiota and BA profile changes in the liver, serum, and four intestinal segments of both sexes during aging and gut microbiota remodeling by co-housing old mice with young ones. We found aging reduced Actinobacteria in male mice but increased Firmicutes in female mice. Among the top 10 altered genera with aging, 4 genera changed oppositely between male and female mice, and most of the changes were reversed by co-housing in both sexes. Gut microbiota remodeling by co-housing partly rescued the systemically dysregulated BA homeostasis induced by aging in a sex- and tissue-specific manner. Aging had greater impacts on hepatic BA profile in females, but intestinal BA profile in males. In addition, aging increased hepatic and colonic deoxycholic acid in male mice, but reduced them in females. Moreover, muricholic acids shifted markedly in the intestine, especially in old male mice, and partially reversed by co-housing. Notably, the ratios of primary to secondary BAs in the liver, serum, and all four intestinal segments were increased in old mice and reduced by co-housing in both sexes. Together, the presented data revealed that sex divergent changes of gut microbiota and BA profile in multiple body compartments during aging and gut microbiota remodeling, highlighting the sex-specific prevention and treatment of aging-related disorders by targeting gut microbiota-regulated BA metabolism should particularly be given more attention.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“metabolites previously associated with beneficial effects in aging [74, 94]”
From Fecal microbiota transfer between young and aged mice reverses hallmarks of the aging gut, eye, and brain (2022) · cites this paper as [74]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Jemal, A., Bray, F., Ferlay, J., Ward, E., & Forman, D. (2011) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.20107 · Cited by 55,077
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
Self-citationTopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,682
Chronic Inflammation (Inflammaging) and Its Potential Contribution to Age-Associated Diseases
Franceschi, C., & Campisi, J. (2014) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glu057 · Cited by 3,891
Inflammaging: a new immune–metabolic viewpoint for age-related diseases
Franceschi, C., Garagnani, P., Parini, P., Giuliani, C., & Santoro, A. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0059-4 · Cited by 3,586
Intestinal Crosstalk between Bile Acids and Microbiota and Its Impact on Host Metabolism
Wahlstrom, A. M., Sayin, S. I., Marschall, H., & Bäckhed, F. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.05.005 · Cited by 2,969
Bile salt biotransformations by human intestinal bacteria
Ridlon, J. M., Kang, D.-J., & Hylemon, P. B. (2006) · Journal of Lipid Research · doi:10.1194/jlr.r500013-jlr200 · Cited by 2,829
Research works printed but not linked: 6
- Sheng L, 2018, Faseb J, fj201800370R
- 10.1038/s41591-019-0504-5 · DOI · Paper page
- 10.1016/j.cmet.2016.05.005 · DOI
- Jia W, 2019, Med Res Rev
- Dai ZC, 1991, Chin Med J, 104, 795
- 10.1016/j.chom.2017.03.002 · DOI · Paper page
Cited by
Sorted by citations
Items 101–171 of 171
Microbiota–gut–brain axis and bile acids–driven neuromodulation
Dong, T., Zhang, T., Wang, H., Zhang, J., Abdullah, R., Sun, B., & Peng, G. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-25-00927 · Cited by 6
Transcriptomic and lipidomic analysis of aging-associated inflammatory signature in mouse liver
Ishihara, T., Tsugawa, H., Iwanami, S., Chang, J.-C., Minoda, A., & Arita, M. (2025) · Inflammation and Regeneration · doi:10.1186/s41232-025-00377-2 · Cited by 4
Jiang, J. (2023) · Animals · doi:10.3390/ani13132106 · Cited by 5
Nguyen, H. V. M., Cabello, E. V., Dyer, D. W., Fender, C. L., García‐Jaramillo, M., Hord, N. G., Austad, S. N., Richardson, A. G., & Unnikrishnan, A. (2025) · Aging · doi:10.18632/aging.206211 · Cited by 4
Secondary bile acid production by gut bacteria promotes Western diet-associated colorectal cancerPreprint
Wortmann, E., Oßwald, A., Wylensek, D., Kuhls, S., Coleman, O. I., Ducarmon, Q. R., Liang, W., Treichel, N. S., Schumacher, F., Volet, C., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.17.533140 · Cited by 4
Shang, K.-M., Ma, H., Wei, Y.-J., Zhao, J., Qin, Y., Li, J., Zhao, Z., Yu, H., Zhao, Q., Chen, B.-N., et al. (2025) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2025.1647377 · Cited by 4
Ye, H., Šlipogor, V., Hanson, B. T., Séneca, J., Hausmann, B., Herbold, C. W., Pjevac, P., Bugnyar, T., & Loy, A. (2025) · Microbiology Spectrum · doi:10.1128/spectrum.00443-25 · Cited by 3
Wang, Y., Zou, Z., Wang, Z., Khan, N. A., Xin, H., & Yan, X. (2025) · Animals · doi:10.3390/ani15233460 · Cited by 5
Xu, Y., Zhang, L., Li, T. C., Zhao, Y. L., Wang, S., Qi, J., & Shi, L. (2026) · Frontiers in Aging · doi:10.3389/fragi.2026.1741360 · Cited by 3
LIAO, Y., Li, X., Li, Q., Wang, Y., TAN, X., & GONG, T. (2024) · Biocell · doi:10.32604/biocell.2024.050324 · Cited by 3
Sipos, A., Kerekes, É., Szeőcs, D., Szarvas, F., Schwarcz, S., Tóth, E., Ujlaki, G., Mikó, E., & Bai, P. (2025) · Cell Death Discovery · doi:10.1038/s41420-025-02398-9 · Cited by 3
Gut microbiota–regulated bile acids metabolism features in the aging process in mice
Luo, D., Chen, K., Zhao, Y., Wang, L., Yin, Y., Yang, L., 荣向路, & Guo, J. (2022) · Journal of Holistic Integrative Pharmacy · doi:10.1016/s2707-3688(23)00065-1 · Cited by 3
Metabolomic and microbial insights: Kai-Xin-San’s impact on Alzheimer’s disease pathology
Ma, H., Yu, Z., Qiao, Q., Wang, W., Li, Z., Wang, P., Song, J., Zhang, X., Su, Y., Sun, Y., et al. (2025) · iScience · doi:10.1016/j.isci.2025.112817 · Cited by 2
Weng, Z., Xu, J., Dai, C., Zeng, Q., Zhang, L., Sun, Y., Li, L., Gu, Z., Yang, J., & Yuan, J. (2025) · Food Bioscience · doi:10.1016/j.fbio.2025.107321 · Cited by 2
Zeng, B., Peng, X., Xiao, P., Nie, K., Zhang, G., & Xia, L. (2026) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1718782 · Cited by 3
Medeiros, E. B., Lídio, A. V., Zabot, G. C., Fenilli, G. P., Silveira, G. D. B., Keller, G. S., Carrion, F. R. A., Felice, F. G. D., Kluwe‐Schiavon, B., Walss‐Bass, C., et al. (2026) · Probiotics and Antimicrobial Proteins · doi:10.1007/s12602-026-10927-w · Cited by 3
Hou, Z., Hua, Y., Gao, S., Si, F., Wang, S., Jin, C., He, Z., Zhang, Z., & Chen, Y. (2026) · Journal of Ovarian Research · doi:10.1186/s13048-026-02017-w · Cited by 2
Ren, X., Ma, J., Zhao, Y., Yang, M., Li, Y., Song, W., & Wang, N. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103269 · Cited by 2
Self-citationSex-Mediated Differences in TNF Signaling- and ECM-Related Gene Expression in Aged Rat Kidney
Noh, S. G., Jung, H. J., Kim, S., Arulkumar, R., Chung, K. W., Park, D., Choi, Y. J., & Chung, H. Y. (2023) · Biological and Pharmaceutical Bulletin · doi:10.1248/bpb.b22-00601 · Cited by 2
Innovative anti-aging strategies targeting WNT pathway epigenetics for gut function
Khan, Y., Bisht, A. S., Ashique, S., Khan, G., & Hussain, M. S. (2025) · Human Gene · doi:10.1016/j.humgen.2025.201397 · Cited by 3
Jiang, X., Zhang, B., Gou, Q., Cai, R., Sun, C., Li, J., Yang, N., & Wen, C. (2024) · Poultry Science · doi:10.1016/j.psj.2024.103932 · Cited by 1
Gut microbiota dysbiosis in infantile cholestatic hepatopathy
Zou, Y., Ni, W., Zhou, Y., Sun, D., Chen, F., & Li, X. (2025) · Frontiers in Pediatrics · doi:10.3389/fped.2025.1547958 · Cited by 1
Liu, Y., Chen, J., Liu, C., Maitiyasen, M., Hou, X., Li, J., & Yi, J. (2025) · Science Progress · doi:10.1177/00368504251352375 · Cited by 1
Jiang, J., Hu, D., Hu, S., Huang, K., Zheng, J., & Pei, E. (2025) · Zoo Biology · doi:10.1002/zoo.70014 · Cited by 1
Yin, Z., Tian, Y., Huang, S., Wang, H., Zhao, L., Zhang, R., Cai, D., Wang, S., Zhong, S., & Zhang, J. (2025) · Food Science & Nutrition · doi:10.1002/fsn3.70578 · Cited by 1
Shah, S. A. U. R., Tang, B., He, D., Ahmad, M., Nabi, G., Wang, C., Fan, F., Zheng, J., Wang, K., & Hao, Y. (2025) · Current Zoology · doi:10.1093/cz/zoaf053 · Cited by 1
Li, X.-Y., Qiu, D., Du, N., Hashimoto, K., Wang, X., & Yang, J. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03705-9 · Cited by 3
Determinants of abnormal liver-related biomarkers in adult COVID-19 patients
ZHANG, S., Hu, Y., Liu, L., Ning, X., Li, Q., & Xiao, G. (2026) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2025.1662585 · Cited by 1
Luca, M. D., Verdoliva, R., Lombardi, A., & Giorgio, A. (2026) · Gastroenterology Insights · doi:10.3390/gastroent17010007 · Cited by 1
Birigwa, C., Tong, Q., Qu, B., Zuo, T., Yuan, W., Xiong, J., & Luo, J. (2026) · Frontiers in Aging · doi:10.3389/fragi.2026.1826382 · Cited by 2
Sleep Hormone Melatonin, Inflammation and Aging
Xia, Y., Wu, X., Yin, Z., Li, Y., & He, F. (2023) · Healthy ageing and longevity · doi:10.1007/978-3-031-22468-3_13 · Cited by 1
Self-citationMohamed, D. A., Mabrok, H. B., El-Sayed, H. S., Abdelgayed, S. S., & Mohammed, S. E. (2025) · Applied Microbiology · doi:10.3390/applmicrobiol5030072 · Cited by 1
Profiling bile acid composition in bile from mice of different ages and sexes
Liu, J., Zhao, Q. C., Qu, C., Ge, K., Yang, L., Jia, W. P., & Zhao, A. (2025) · Frontiers in Physiology · doi:10.3389/fphys.2025.1626215 · Cited by 1
Self-citationJiang, J., He, Y., Pan, H., Xu, N., Tan, Y., Sun, D., & Chen, S. (2024) · Research Square · doi:10.21203/rs.3.rs-4156881/v1 · Cited by 1
Sex-specific microbiome-host interactions: from infection to chronic disease—call for papers
Yıldırım, S., Zhu, W., Cope, E. K., Lindemann, S. R., Suez, J., & Shade, A. L. (2026) · mSystems · doi:10.1128/msystems.00156-26 · Cited by 1
The Gut Microbiota and Immunopathophysiology
Aganetti, M. A., Cruz, C. S., Galvão, I., Engel, D. F., Ricci, M. F., & Vieira, A. T. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-820472-6.00128-6
The Gut Microbiota and Its Metabolites Contribute to Ageing and Ageing-Related Diseases
Chen, C., Cao, Z., Lei, H., & Zhang, L. (2023) · Healthy ageing and longevity · doi:10.1007/978-3-031-14023-5_1
Probiotics for Preventing Aging and Celecoxib and Berberine for Treating ItPreprint
Hada, M., Abdel-Wahab, T. I., Abdel-Wahab, S. I., Abdel-Wahab, E. I., & Adel, M. M. (2024) · Qeios · doi:10.32388/yvddgq
陈, 奕. (2024) · Advances in Clinical Medicine · doi:10.12677/acm.2024.14102746
Bai, P., Sipos, A., Kerekes, É., Szeőcs, D., Szarvas, F., Schwarcz, S., Tóth, E., Mikó, E., & Ujlaki, G. (2024) · Research Square · doi:10.21203/rs.3.rs-5190306/v1
Microbiome and Antiaging Medicine: Gut Bacterial Metabolites and Antiaging
Ohue‐Kitano, R., & Kimura, I. (2024) · Springer eBooks · doi:10.1007/978-981-97-8514-8_57
Yuan, J., Weng, Z., Xu, J., Dai, C., Zeng, Q., Zhang, L., Sun, Y., Li, L., Gu, Z., & Yang, J. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5163271
Xu, F., Zhang, C., Yu, L., Tian, F., Chen, W., & Zhai, Q. (2025) · Food Nutrition · doi:10.1016/j.fnutr.2025.100002
Gut microbiota, colorectal cancer, and metastatic liver cancer: A Mendelian randomization analysis
Su, W., Wang, Z., Wang, X., Ma, X., & Zhao, R. (2025) · Medicine · doi:10.1097/md.0000000000045360
Shumilov, K., Ni, A., Garcia-Bonilla, M., Celorrio, M., & Friess, S. H. (2024) · Figshare · doi:10.6084/m9.figshare.26749589
Li, B., Tao, X., Sheng, L., Li, Y., Zheng, N., & Li, H. (2022) · Figshare · doi:10.6084/m9.figshare.26557556
Self-citationGao, X., Zhu, Z., Bao, Y., Li, Y., Zhu, W., He, X., Ge, X., Huang, W., Wang, H., Wei, W., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25963184
Self-citationParker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695986
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695980
Shumilov, K., Ni, A., Garcia-Bonilla, M., Celorrio, M., & Friess, S. H. (2024) · Figshare · doi:10.6084/m9.figshare.26308913
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695974
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695983
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695971
Li, B., Tao, X., Sheng, L., Li, Y., Zheng, N., & Li, H. (2022) · Figshare · doi:10.6084/m9.figshare.26557541
Self-citationShumilov, K., Ni, A., Garcia-Bonilla, M., Celorrio, M., & Friess, S. H. (2024) · Figshare · doi:10.6084/m9.figshare.26309129
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695977
Li, B., Tao, X., Sheng, L., Li, Y., Zheng, N., & Li, H. (2022) · Figshare · doi:10.6084/m9.figshare.26557544
Self-citationLi, B., Tao, X., Sheng, L., Li, Y., Zheng, N., & Li, H. (2022) · Figshare · doi:10.6084/m9.figshare.26557550
Self-citationLi, B., Tao, X., Sheng, L., Li, Y., Zheng, N., & Li, H. (2022) · Figshare · doi:10.6084/m9.figshare.26557547
Self-citationLi, B., Tao, X., Sheng, L., Li, Y., Zheng, N., & Li, H. (2022) · Figshare · doi:10.6084/m9.figshare.26557553
Self-citationPi, Y., Wu, Y., Zhang, X., Lu, D., Han, D., Zhao, J., Zheng, X., Zhang, S., Ye, H., Lian, S., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22603987
Self-citationAttema, B. J., & Kuipers, F. (2026) · Engineering · doi:10.1016/j.eng.2026.01.002 · Cited by 1
Zhou, T., Wang, R., Wei, H., Liu, W., Xiao, Y., Zhong, Q., Liu, Z., Luo, D., Jiang, K., Zhang, P., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-8649754/v1
Qiu, K., Zhu, Q., Cai, D., Deng, Z., Zha, G., Xue, Y., Peng, M., Hu, P., & Ren, H. (2026) · Genes & Diseases · doi:10.1016/j.gendis.2026.102222
T cell control of the intestinal barrier and gut microbiota during ageing
Heras, M. M. G. D. L., & Mittelbrunn, M. (2026) · Trends in Immunology · doi:10.1016/j.it.2026.05.001
Wei, B., Wang, D., Sun, H., Ren, P., Wang, Y., Chang, Y., Wang, Y., & Tang, Q. (2026) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.70908
Considerations for the dynamic role of bile acids during oral drug discovery and development
Al-Tamimi, Z. J. J., & Hageman, M. J. (2026) · npj Drug Discovery. · doi:10.1038/s44386-026-00065-2
Sex-based differences in the gut-metabolism axis in aging and Nrf2-deficient mice
Yang, S., Zhou, J., Yang, Y., Xu, P., & Yu, B. (2026) · PLoS ONE · doi:10.1371/journal.pone.0357015
Zhang, H., Wang, Z., Miao, T., Xie, X., & Li, N. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1884778
Wang, Z., & Liu, Y. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1984798
Metadata
- Authors
- Ma, J., Hong, Y., Zheng, N., Xie, G., Lyu, Y., Gu, Y., Xi, C., Chen, L., Wu, G., Li, Y., Tao, X., Zhong, J., Huang, Z., Wu, W., Yuan, L., Lin, M., Lu, X., Zhang, W., Jia, W., Sheng, L., & Li, H.
- Affiliations
- Shanghai University of Traditional Chinese Medicine (CN)
- Human Metabolomics Institute, Inc, Shenzhen, Guangdong, China
- University of California, Davis (US)
- Shanghai Medical College of Fudan University (CN)
- Huzhou Normal University (CN)
- Experiment Center for Science and Technology, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Second Military Medical University (CN)
- Hong Kong Baptist University (HK)
- Corresponding author
- Jia, Wei
- Sheng, Lili
- Li, Houkai
- ORCID
- Venue
- Gut Microbes
- Publisher
- Informa UK Limited
- Published
- 2020-06-09
- Volume
- 11
- Issue
- 5
- Pages
- 1450-1474
- ISSN
- 1949-0976 (ISSN-L)
- 1949-0984
- PMC
- PMC7524276
- OpenAlex
- W3033881211
- Cited by
- 171
- References
- 92
- Citations by year
- 2026: 21 · 2025: 39 · 2024: 32 · 2023: 23 · 2022: 38 · 2021: 15 · 2020: 3
- FWCI
- 6.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Gut Microbes (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (No. 81873059 & 81673662)
- National Key Research and Development Program of China (No. 2017YFC1700200)
- Program for Professor of Special Appointment (Eastern Scholar) & Shuguang Scholar
- Shanghai Institutions of Higher Learning from Shanghai Municipal Education Commission
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- gut microbiota, aging, bile acid homeostasis, sex differences, cohousing, deoxycholic acid, muricholic acids, actinobacteria, Firmicutes, gut dysbiosis, anti-aging interventions
- MeSH terms
- Bacillota, Gastrointestinal Microbiome, Aging, Animals, Bacteria, Bile Acids and Salts, Female, Homeostasis, Housing, Animal, Inflammation, Intestine, Large, Intestine, Small, Liver, Male, Mice, Inbred C57BL, Sex Characteristics, Splenomegaly, Actinobacteria, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review