Mitochondrial stress is relayed to the cytosol by an OMA1–DELE1–HRI pathway
Open accessPublished version of a preprint
Abstract
In mammalian cells, mitochondrial dysfunction triggers the integrated stress response, in which the phosphorylation of eukaryotic translation initiation factor 2α (eIF2α) results in the induction of the transcription factor ATF4 1-3. However, how mitochondrial stress is relayed to ATF4 is unknown. Here we show that HRI is the eIF2α kinase that is necessary and sufficient for this relay. In a genome-wide CRISPR interference screen, we identified factors upstream of HRI: OMA1, a mitochondrial stress-activated protease; and DELE1, a little-characterized protein that we found was associated with the inner mitochondrial membrane. Mitochondrial stress stimulates OMA1-dependent cleavage of DELE1 and leads to the accumulation of DELE1 in the cytosol, where it interacts with HRI and activates the eIF2α kinase activity of HRI. In addition, DELE1 is required for ATF4 translation downstream of eIF2α phosphorylation. Blockade of the OMA1-DELE1-HRI pathway triggers an alternative response in which specific molecular chaperones are induced. The OMA1-DELE1-HRI pathway therefore represents a potential therapeutic target that could enable fine-tuning of the integrated stress response for beneficial outcomes in diseases that involve mitochondrial dysfunction.
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
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?
ACSL4 enriches cellular membranes with long PUFAs and is required for ferroptosis.
“ACSL4, encoding Acyl-CoA Synthetase Long Chain Family Member 4, which enriches cellular membranes with long PUFAs is required for ferroptosis44,45.”
From Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis (2021) · cites this paper as [45]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890 · see citing works
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855 · see citing works
Salmon provides fast and bias-aware quantification of transcript expression
Patro, R., Duggal, G., Love, M. I., Irizarry, R. A., & Kingsford, C. (2017) · Nature Methods · doi:10.1038/nmeth.4197 · Cited by 12,700 · see citing works
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 12,617 · see citing works
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
Kuleshov, M. V., Jones, M. R., Rouillard, A. D., Fernandez, N. F., Duan, Q., Wang, Z., Koplev, S., Jenkins, S. L., Jagodnik, K. M., Lachmann, A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw377 · Cited by 10,799 · see citing works
Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)
Rust, M. J., Bates, M., & Zhuang, X. (2006) · Nature Methods · doi:10.1038/nmeth929 · Cited by 8,109 · see citing works
Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool
Chen, E. Y., Tan, C. M., Kou, Y., Duan, Q., Wang, Z., Meirelles, G. V., Clark, N. R., & Ma’ayan, A. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-128 · Cited by 7,814 · see citing works
The Unfolded Protein Response: From Stress Pathway to Homeostatic Regulation
Walter, P., & Ron, D. (2011) · Science · doi:10.1126/science.1209038 · Cited by 5,893 · see citing works
Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression
Qi, L. S., Larson, M. H., Gilbert, L. A., Doudna, J. A., Weissman, J. S., Arkin, A. P., & Lim, W. A. (2013) · Cell · doi:10.1016/j.cell.2013.02.022 · Cited by 5,016 · see citing works
Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences
Soneson, C., Love, M. I., & Robinson, M. D. (2015) · F1000Research · doi:10.12688/f1000research.7563.1 · Cited by 3,929 · see citing works
An Integrated Stress Response Regulates Amino Acid Metabolism and Resistance to Oxidative Stress
Harding, H. P., Zhang, Y., Zeng, H., Novoa, I., Lu, P. D., Calfon, M. A., Sadri, N., Yun, C., Popko, B., Paules, R. S., et al. (2003) · Molecular Cell · doi:10.1016/s1097-2765(03)00105-9 · Cited by 3,336 · see citing works
Java Treeview—extensible visualization of microarray data
Saldanha, A. J. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth349 · Cited by 2,991 · see citing works
Three-Dimensional Super-Resolution Imaging by Stochastic Optical Reconstruction Microscopy
Huang, B., Wang, W.-Q., Bates, M., & Zhuang, X. (2008) · Science · doi:10.1126/science.1153529 · Cited by 2,801 · see citing works
Genome-Scale CRISPR-Mediated Control of Gene Repression and Activation
Gilbert, L. A., Horlbeck, M. A., Adamson, B., Villalta, J. E., Chen, Y., Whitehead, E. H., Guimaraes, C., Panning, B., Ploegh, H. L., Bassik, M. C., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.029 · Cited by 2,728 · see citing works
Self-citationTRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions
Han, H., Cho, J.-W., Lee, S., Yun, A., Kim, H., Bae, D., Yang, S., Kim, C. Y., Lee, M., Kim, E., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1013 · Cited by 1,983 · see citing works
Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences
Soneson, C., Love, M. I., & Robinson, M. D. (2016) · F1000Research · doi:10.12688/f1000research.7563.2 · Cited by 1,936 · see citing works
SUnSET, a nonradioactive method to monitor protein synthesis
Schmidt, E. K., Clavarino, G., Ceppi, M., & Pierre, P. (2009) · Nature Methods · doi:10.1038/nmeth.1314 · Cited by 1,706 · see citing works
The mitochondrial basis of aging
Sun, N., Youle, R. J., & Finkel, T. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.01.028 · Cited by 1,441 · see citing works
Coping with stress: eIF2 kinases and translational control
Wek, R. C., Jiang, H.-Y., & Anthony, T. G. (2006) · Biochemical Society Transactions · doi:10.1042/bst0340007 · Cited by 1,290 · see citing works
Adamson, B., Norman, T. M., Jost, M., Cho, M. Y., Nuñez, J. K., Chen, Y., Villalta, J. E., Gilbert, L. A., Horlbeck, M. A., Hein, M. Y., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.048 · Cited by 1,193 · see citing works
Mitochondria in neuroplasticity and neurological disorders
Mattson, M. P., Gleichmann, M., & Cheng, A. (2008) · Neuron · doi:10.1016/j.neuron.2008.10.010 · Cited by 1,081 · see citing works
A mitochondrial specific stress response in mammalian cells
Zhao, Q., Wang, J., Levichkin, I. V., Stasinopoulos, S., Ryan, M. T., & Hoogenraad, N. J. (2002) · The EMBO Journal · doi:10.1093/emboj/cdf445 · Cited by 1,026 · see citing works
Horlbeck, M. A., Gilbert, L. A., Villalta, J. E., Adamson, B., Pak, R. A., Chen, Y., Fields, A. P., Park, C. Y., Corn, J. E., Kampmann, M., et al. (2016) · eLife · doi:10.7554/elife.19760 · Cited by 894 · see citing works
Self-citationQuirós, P. M., Prado, M. A., Zamboni, N., D’Amico, D., Williams, R. W., Finley, D., Gygi, S. P., & Auwerx, J. (2017) · Journal of Cell Biology · doi:10.1083/jcb.201702058 · Cited by 832 · see citing works
The Transcription Factor ATF5 Mediates a Mammalian Mitochondrial UPR
Fiorese, C. J., Schulz, A. M., Lin, Y., Rosin, N., Pellegrino, M. W., & Haynes, C. M. (2016) · Current Biology · doi:10.1016/j.cub.2016.06.002 · Cited by 672 · see citing works
Self-citationRegulation of OPA1 processing and mitochondrial fusion by m -AAA protease isoenzymes and OMA1
Ehses, S., Lauria, I., Mancuso, G., Bernacchia, A., Geimer, S., Tondera, D., Martinou, J., Westermann, B., Rugarli, E. I., & Langer, T. (2009) · The Journal of Cell Biology · doi:10.1083/jcb.200906084 · Cited by 570 · see citing works
Role of eIF2α Kinases in Translational Control and Adaptation to Cellular StressPreprint
Wek, R. C. (2018) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a032870 · Cited by 549 · see citing works
New roles for mitochondrial proteases in health, ageing and disease
Quirós, P. M., Langer, T., & López-Otı́n, C. (2015) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3984 · Cited by 546 · see citing works
CRISPR Interference-Based Platform for Multimodal Genetic Screens in Human iPSC-Derived Neurons
Tian, R., Gachechiladze, M. A., Ludwig, C. H., Laurie, M. T., Hong, J. Y., Nathaniel, D., Prabhu, A. V., Fernandopulle, M. S., Patel, R., Abshari, M., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.07.014 · Cited by 543 · see citing works
Self-citationCoping with stress: eIF2 kinases and translational control
Jiang, H.-Y., Wek, R. C., & Anthony, T. G. (2005) · Biochemical Society Transactions · doi:10.1042/bst20060007 · Cited by 522 · see citing works
Mitochondrial diseases: the contribution of organelle stress responses to pathology
Suomalainen, A., & Battersby, B. J. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.66 · Cited by 505 · see citing works
[Cellular receptors for animal viruses].
HOMMA, R., & Yasui, K. (1968) · PubMed · Cited by 485 · see citing works
Mitochondrial dysfunction remodels one-carbon metabolism in human cells
Bao, X. R., Ong, S., Goldberger, O., Peng, J., Sharma, R., Thompson, D. A., Vafai, S. B., Cox, A. G., Marutani, E., Ichinose, F., et al. (2016) · eLife · doi:10.7554/elife.10575 · Cited by 439 · see citing works
Preventing proteostasis diseases by selective inhibition of a phosphatase regulatory subunit
Das, I., Krzyżosiak, A., Schneider, K., Wrabetz, L. G., D’Antonio, M., Barry, N. P., Sigurdardottir, A., & Bertolotti, A. (2015) · Science · doi:10.1126/science.aaa4484 · Cited by 436 · see citing works
Baker, M. J., Lampe, P., Stojanovski, D., Korwitz, A., Anand, R., Tatsuta, T., & Langer, T. (2014) · The EMBO Journal · doi:10.1002/embj.201386474 · Cited by 346 · see citing works
Lu, L., Han, A., & Chen, J.-J. (2001) · Molecular and Cellular Biology · doi:10.1128/mcb.21.23.7971-7980.2001 · Cited by 317 · see citing works
Mitochondrial unfolded protein response controls matrix pre-RNA processing and translation
Münch, C., & Harper, J. W. (2016) · Nature · doi:10.1038/nature18302 · Cited by 315 · see citing works
Regulation of protein synthesis by heme-regulated eIF-2α kinase
Chen, J.-J., & London, I. M. (1995) · Trends in Biochemical Sciences · doi:10.1016/s0968-0004(00)88975-6 · Cited by 301 · see citing works
SirT3 Regulates the Mitochondrial Unfolded Protein Response
Papa, L., & Germain, D. (2013) · Molecular and Cellular Biology · doi:10.1128/mcb.01337-13 · Cited by 282 · see citing works
Viader, A., Sasaki, Y., Kim, S., Strickland, A. M., Workman, C. S., Yang, K., Gross, R. W., & Milbrandt, J. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.012 · Cited by 270 · see citing works
Chou, A., Krukowski, K., Jopson, T. D., Zhu, P., Costa‐Mattioli, M., Walter, P., & Rosi, S. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707661114 · Cited by 253 · see citing works
Multicolor Far-Field Fluorescence Nanoscopy through Isolated Detection of Distinct Molecular Species
Bossi, M. L., Fölling, J., Belov, V. N., et al. (2008) · Nano Letters · doi:10.1021/nl801471d · Cited by 253 · see citing works
Sidrauski, C., Tsai, J. C., Kampmann, M., Hearn, B. R., Vedantham, P., Jaishankar, P., Sokabe, M., Mendez, A. S., Newton, B. W., Tang, E. L., et al. (2015) · eLife · doi:10.7554/elife.07314 · Cited by 250 · see citing works
Self-citationEstrogen receptor mediates a distinct mitochondrial unfolded protein response
Papa, L., & Germain, D. (2011) · Journal of Cell Science · doi:10.1242/jcs.078220 · Cited by 206 · see citing works
Lee, H., Smith, S. B., & Yoon, Y. (2017) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.762567 · Cited by 190 · see citing works
Chen, J. J., Nathaniel, D. L., Raghavan, P., Nelson, M., Tian, R., Tse, E., Hong, J. Y., See, S. K., Mok, S.-A., Hein, M. Y., et al. (2019) · Journal of Biological Chemistry · doi:10.1074/jbc.ra119.009432 · Cited by 170 · see citing works
Self-citationGraphene-enabled electron microscopy and correlated super-resolution microscopy of wet cells
Wojcik, M., Hauser, M., Li, W., Moon, S., & Xu, K. (2015) · Nature Communications · doi:10.1038/ncomms8384 · Cited by 133 · see citing works
Self-citationKampmann, M., Bassik, M. C., & Weissman, J. S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1307002110 · Cited by 123 · see citing works
Self-citationCOPII-coated membranes function as transport carriers of intracellular procollagen I
Gorur, A., Yuan, L., Kenny, S. J., Baba, S., Xu, K., & Schekman, R. W. (2017) · The Journal of Cell Biology · doi:10.1083/jcb.201702135 · Cited by 99 · see citing works
Self-citationAblation of the stress protease OMA1 protects against heart failure in mice
Acín‐Pérez, R., Lechuga‐Vieco, A. V., Muñoz, M. D. M., Nieto-Arellano, R., Torroja, C., Sánchez‐Cabo, F., Jiménez, C., González-Guerra, A., Carrascoso, I., Benincá, C., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aan4935 · Cited by 93 · see citing works
Berlanga, J. J., Herrero, S., & de Haro, C. (1998) · Journal of Biological Chemistry · doi:10.1074/jbc.273.48.32340 · Cited by 90 · see citing works
Dey, M., Trieselmann, B. A., Locke, E., Lu, J., Cao, C., Dar, A. C., Krishnamoorthy, T., Dong, J., Sicheri, F., & Dever, T. E. (2005) · Molecular and Cellular Biology · doi:10.1128/mcb.25.8.3063-3075.2005 · Cited by 67 · see citing works
Intracellular iron and heme trafficking and metabolism in developing erythroblasts
Kafina, M. D., & Paw, B. H. (2017) · Metallomics · doi:10.1039/c7mt00103g · Cited by 62 · see citing works
Zhang, S., Macias-Garcia, A., Ulirsch, J. C., Velazquez, J. G., Butty, V. L., Levine, S. S., Sankaran, V. G., & Chen, J.-J. (2019) · eLife · doi:10.7554/elife.46976 · Cited by 62 · see citing works
Delaunay, J., Ranu, R. S., Levin, D. H., et al. (1977) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.74.6.2264 · Cited by 61 · see citing works
Matts, R. L., Schatz, J. R., Hurst, R., et al. (1991) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)98955-6 · Cited by 55 · see citing works
DDX3 regulates endoplasmic reticulum stress-induced ATF4 expression
Adjibade, P., St-Sauveur, V. G., Bergeman, J., Huot, M., Khandjian, É. W., & Mazrouï, R. (2017) · Scientific Reports · doi:10.1038/s41598-017-14262-7 · Cited by 50 · see citing works
Kim, H., Kim, H., Botelho, S. C., et al. (2015) · Protein Science · doi:10.1002/pro.2817 · Cited by 40 · see citing works
Harada, T., Iwai, A., & Miyazaki, T. (2010) · APOPTOSIS · doi:10.1007/s10495-010-0519-3 · Cited by 38 · see citing works
Liao, M., Pabarcus, M. K., Wang, Y., Hefner, C., Maltby, D., Medzihradszky, K., Salas-Castillo, S. P., Yan, J. S., Maher, J., & Correia, M. (2007) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.107.124602 · Cited by 32 · see citing works
Self-citationCRISPulator: a discrete simulation tool for pooled genetic screens
Nagy, T. L., & Kampmann, M. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1759-9 · Cited by 32 · see citing works
Self-citationChen, J. J.-W., Nathaniel, D. L., Raghavan, P., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/637785 · Cited by 16 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq
Replogle, J. M., Saunders, R. A., Pogson, A. N., Hussmann, J. A., Lenail, A., Guna, A., Mascibroda, L., Wagner, E. J., Adelman, K., Lithwick-Yanai, G., et al. (2022) · Cell · doi:10.1016/j.cell.2022.05.013 · Cited by 751 · see citing works
Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis
Tian, R., Abarientos, A., Hong, J., Hashemi, S. H., Yan, R., Dräger, N., Leng, K., Nalls, M. A., Singleton, A. B., Xu, K., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00862-0 · Cited by 414 · see citing works
Self-citationMechanisms and regulation of protein synthesis in mitochondria
Kummer, E., & Ban, N. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00332-2 · Cited by 349 · see citing works
Nuclear sensing of breaks in mitochondrial DNA enhances immune surveillance
Tigano, M., Vargas, D. C., Tremblay-Belzile, S., Fu, Y., & Sfeir, A. (2021) · Nature · doi:10.1038/s41586-021-03269-w · Cited by 327 · see citing works
Why cells need iron: a compendium of iron utilisation
Teh, M. R., Armitage, A. E., & Drakesmith, H. (2024) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2024.04.015 · Cited by 114 · see citing works
Decoding the Rosetta stone of mitonuclear communication
English, J., Son, J. M., Cardamone, M. D., Lee, C., & Perissi, V. (2020) · Pharmacological Research · doi:10.1016/j.phrs.2020.105161 · Cited by 55 · see citing works
Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis
Tian, R., Abarientos, A., Hong, J., Hashemi, S. H., Yan, R., Dräger, N., Leng, K., Nalls, M. A., Singleton, A. B., Xu, K., et al. (2020) · doi:10.1101/2020.06.27.175679 · Cited by 414 · see citing works
Self-citationAsparagine signals mitochondrial respiration and can be targeted to impair tumour growth
Krall, A. S., Mullen, P. J., Surjono, F., Momcilovic, M., Schmid, E. W., Halbrook, C. J., Thambundit, A., Mittelman, S. D., Lyssiotis, C. A., Shackelford, D. B., et al. (2020) · doi:10.1101/2020.03.17.995670 · Cited by 5 · see citing works
- Authors
- Guo, X., Aviles, G., Liu, Y., Tian, R., Unger, B. A., Lin, Y.-H. T., Wiita, A. P., Xu, K., Correia, M. A., & Kampmann, M.
- Affiliations
- University of California, San Francisco (US)
- Chan Zuckerberg Biohub San Francisco (US)
- Corresponding author
- Kampmann, Martin
- ORCID
- Venue
- Nature
- Published
- 2020-03-04
- Volume
- 579
- Issue
- 7799
- Pages
- 427-432
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC7147832
- OpenAlex
- W3010473434
- Cited by
- 674
- References
- 63
- Citations by year
- 2026: 127 · 2025: 121 · 2024: 124 · 2023: 97 · 2022: 93 · 2021: 69 · 2020: 38 · 2019: 4
- FWCI
- 37.00
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (1s10od010786-01, OD022552, DK26506)
- National Institute of General Medical Sciences (DP2GM123500, R01GM044037, DP2GM119139)
- National Institute of Diabetes and Digestive and Kidney Diseases (R56DK026506, R01DK026506)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Endoplasmic Reticulum Stress and Disease
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Mitochondrial Function and Pathology
- Health Sciences › Medicine › Epidemiology › Autophagy in Disease and Therapy
- Keywords
- mitochondrial stress, integrated stress response, OMA1, human-robot interaction, eIF2α kinase, eIF2α phosphorylation, ATF4, mitochondrial protease, mitochondrial dysfunction, molecular chaperones, inner mitochondrial membrane, therapeutic target
- MeSH terms
- Cell Line, Cytosol, Enzyme Activation, Humans, Male, Metalloendopeptidases, Mitochondria, Phosphorylation, Protein Binding, Stress, Physiological, Eukaryotic Initiation Factor-2, Molecular Chaperones, eIF-2 Kinase, Mitochondrial Proteins, Activating Transcription Factor 4, CRISPR-Cas Systems
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