The DOI matches its Crossref record; 41 of the 43 references it cites were found in a registry or an index.
Codon Optimality Is a Major Determinant of mRNA Stability
Open accessAbstract
mRNA degradation represents a critical regulated step in gene expression. Although the major pathways in turnover have been identified, accounting for disparate half-lives has been elusive. We show that codon optimality is one feature that contributes greatly to mRNA stability. Genome-wide RNA decay analysis revealed that stable mRNAs are enriched in codons designated optimal, whereas unstable mRNAs contain predominately non-optimal codons. Substitution of optimal codons with synonymous, non-optimal codons results in dramatic mRNA destabilization, whereas the converse substitution significantly increases stability. Further, we demonstrate that codon optimality impacts ribosome translocation, connecting the processes of translation elongation and decay through codon optimality. Finally, we show that optimal codon content accounts for the similar stabilities observed in mRNAs encoding proteins with coordinated physiological function. This work demonstrates that codon optimization exists as a mechanism to finely tune levels of mRNAs and, ultimately, proteins.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“These strategies have yielded modest improvements in RNA stability10, 13–16, and thus alternative approaches to RNA stabilization, such as circularization, are desirable.”
From Engineering circular RNA for potent and stable translation in eukaryotic cells (2018) · cites this paper as [15]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Furthermore, the rate of codon-dependent translation elongation has been a primary factor of mRNA stability, codon modification is critical for mRNA stability (Presnyak et al. 2015).”
From Modifications of mRNA vaccine structural elements for improving mRNA stability and translation efficiency (2022) · cites this paper as Presnyak et al. 2015
The cited source says what the claim attributes to it.
In the citing paper
“Furthermore, the rate of codon-dependent translation elongation has been a primary factor of mRNA stability, codon modification is critical for mRNA stability (Presnyak et al. 2015).”
From Modifications of mRNA vaccine structural elements for improving mRNA stability and translation efficiency (2022) · cites this paper as Presnyak et al. 2015
In the citing paper
“To improve the safety, efficacy, and stability of mRNA vaccines, researchers usually performed codon optimization172,239–243 on the antigen-coding sequence to enhance translation efficiency.”
From Advances in COVID-19 mRNA vaccine development (2022) · cites this paper as [240]
In the citing paper
“Codon optimization in the mRNA sequence to e.g., match host transfer (t)RNA abundances, or as a determinant of introducing secondary structures, can drastically impact the protein synthesis rate and ribosome dwell time (i.e. mRNA functional half-life) [33,34]”
From The dawn of mRNA vaccines: the COVID-19 case (2021) · cites this paper as [33]
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
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849 · cited 2×
“Alignment and Half-Life Calculation Reads were aligned to the S. cerevisiae reference genome using bowtie (Langmead et al., 2009), with the unaligned reads then aligned to the sequences of the controls in the same way.”
MethodTrapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
Genome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling
Ingolia, N. T., Ghaemmaghami, S., Newman, J. R. S., & Weissman, J. S. (2009) · Science · doi:10.1126/science.1168978 · Cited by 3,853 · cited 1×
“Several ribosomal profiling studies have failed to detect codon-specific differences in the translation of optimal and non-optimal codons (Ingolia et al., 2009; Qian et al., 2012; Charneski and Hurst, 2013).”
BackgroundOpen source clustering software
de Hoon, M., Imoto, S., Nolan, J., & Miyano, S. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth078 · Cited by 3,047
Java Treeview—extensible visualization of microarray data
Saldanha, A. J. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth349 · Cited by 2,991
Gietz, R. D., & Sugino, A. (1988) · Gene · doi:10.1016/0378-1119(88)90185-0 · Cited by 2,851
Codon bias and heterologous protein expression
Gustafsson, C., Govindarajan, S., & Minshull, J. (2004) · Trends in Biotechnology · doi:10.1016/j.tibtech.2004.04.006 · Cited by 1,330 · cited 2×
“The overall result is not surprising, as codon bias has been well studied (Gustafsson et al., 2004); however, the pattern of codon usage demonstrates that certain classes of mRNAs predominately use either optimal or non-optimal codons (Figures 3A and 3B; overrepresented codons in yellow,…”
BackgroundMistranslation-Induced Protein Misfolding as a Dominant Constraint on Coding-Sequence Evolution
Drummond, D. A., & Wilke, C. O. (2008) · Cell · doi:10.1016/j.cell.2008.05.042 · Cited by 1,065 · cited 2×
“Critically, optimal codons are postulated to be decoded faster and more accurately by the ribosome than non-optimal codons (Akashi, 1994; Drummond and Wilke, 2008), which are hypothesized to slow translation elongation (Novoa and Ribas de Pouplana, 2012; Tuller et al., 2010).”
BackgroundAn evolutionarily conserved mechanism for controlling the efficiency of protein translation
Tuller, T., Carmi, A., Vestsigian, K., Navon, S., Dorfan, Y., Zaborske, J., Pan, T., Dahan, O., Furman, I., & Pilpel, Y. (2010) · Cell · doi:10.1016/j.cell.2010.03.031 · Cited by 874 · cited 1×
“Critically, optimal codons are postulated to be decoded faster and more accurately by the ribosome than non-optimal codons (Akashi, 1994; Drummond and Wilke, 2008), which are hypothesized to slow translation elongation (Novoa and Ribas de Pouplana, 2012; Tuller et al., 2010).”
BackgroundSolving the riddle of codon usage preferences: a test for translational selection
dos Reis, M. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh834 · Cited by 745 · cited 3×
“The rare codons used in our previous studies belong to a general class of codons defined as non-optimal (Pechmann and Frydman, 2013; dos Reis et al., 2004).”
BackgroundMethodSynonymous codon usage in Drosophila melanogaster: Natural selection and translational accuracy
Akashi, H. (1994) · Genetics · doi:10.1093/genetics/136.3.927 · Cited by 742
Precision and functional specificity in mRNA decay
Wang, Y., Liu, C. L., Storey, J. D., Tibshirani, R. J., Herschlag, D., & Brown, P. O. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.092538799 · Cited by 714 · cited 4×
“These transcripts were determined to be stable both previously and in our genome-wide analysis (median half-life = 43.4 min; Wang et al., 2002).”
BackgroundInfluentialGeneral Translational Repression by Activators of mRNA Decapping
Coller, J. M., & Parker, R. (2005) · Cell · doi:10.1016/j.cell.2005.07.012 · Cited by 629 · cited 5×
“Ribosomal run-off experiments were performed similarly to normal polyribosome analysis, except cells were resuspended in media lacking glucose for 10 min before harvesting (Coller and Parker, 2005).”
BackgroundMethodInfluentialSelf-citationA Dual Program for Translation Regulation in Cellular Proliferation and Differentiation
Gingold, H., Tehler, D., Christoffersen, N. R., Nielsen, M. M., Asmar, F., Kooistra, S. M., Christophersen, N. S., Christensen, L. L., Borre, M., Sørensen, K. D., et al. (2014) · Cell · doi:10.1016/j.cell.2014.08.011 · Cited by 513 · cited 1×
“For instance, large-scale RNA profiling experiments have demonstrated that tRNA concentrations vary widely between proliferating and differentiating cells (Gingold et al., 2014).”
BackgroundEvolutionary conservation of codon optimality reveals hidden signatures of cotranslational folding
Pechmann, S., & Frydman, J. (2012) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2466 · Cited by 504 · cited 6×
“The term codon optimality has been introduced in an attempt to define the differential recognition of codons by the translational apparatus (Zhou et al., 2009; Pechmann and Frydman, 2013).”
BackgroundMethodInfluentialColler, J., & Parker, R. (2004) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.73.011303.074032 · Cited by 500 · cited 4×
“Despite being targeted by a common decay pathway, turnover rates for individual yeast mRNAs differ dramatically, with half-lives ranging from <1 min to 60 min or greater (Coller and Parker, 2004).”
BackgroundInfluentialSelf-citationTranslation drives mRNA quality control
Shoemaker, C. J., & Green, R. (2012) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2301 · Cited by 415 · cited 3×
“This effect was not dependent on RNA surveillance pathways such as No-Go, Nonsense-Mediated, or Non-Stop Decay (Shoemaker and Green, 2012).”
BackgroundInfluentialIdentification and Comparison of Stable and Unstable mRNAs in Saccharomyces cerevisiae
Herrick, D., Parker, R., & Jacobson, A. (1990) · Molecular and Cellular Biology · doi:10.1128/mcb.10.5.2269 · Cited by 406
Dynamic transcriptome analysis measures rates of mRNA synthesis and decay in yeast
Miller, C., Schwalb, B., Maier, K. C., Schulz, D., Dümcke, S., Zacher, B., Mayer, A., Sydow, J. F., Marcinowski, L., Dölken, L., et al. (2011) · Molecular Systems Biology · doi:10.1038/msb.2010.112 · Cited by 393 · cited 2×
“We repeated our analysis of codon usage versus mRNA half-life using mRNA decay rates obtained by Miller et al. (2011).”
MethodResultSpeeding with control: codon usage, tRNAs, and ribosomes
Novoa, E. M., & de Pouplana, L. R. (2012) · Trends in Genetics · doi:10.1016/j.tig.2012.07.006 · Cited by 359
Eucaryotic RNA Polymerase Conditional Mutant that Rapidly Ceases mRNA Synthesis
Nonet, M. L., Scafe, C., Sexton, J., & Young, R. A. (1987) · Molecular and Cellular Biology · doi:10.1128/mcb.7.5.1602-1611.1987 · Cited by 347 · cited 3×
“RNA-Seq rpb1-1 mutant cells (Nonet et al., 1987) were grown to mid-log phase at 24 C and shifted to a non-permissive temperature of 37 C.”
MethodInfluentialTurnover Mechanisms of the Stable Yeast PGK1 mRNA
Muhlrad, D., Decker, C. J., & Parker, R. (1995) · Molecular and Cellular Biology · doi:10.1128/mcb.15.4.2145 · Cited by 339 · cited 2×
“Although it is firmly established that deadenylation is the rate-limiting step in mRNA turnover, we and others have observed that specific mRNAs persist in cells as ‘‘stable’’ deadenylated species (Hu et al., 2009; Muhlrad et al., 1995).”
BackgroundMethodCo-translational mRNA decay in Saccharomyces cerevisiae
Hu, W., Sweet, T. J., Chamnongpol, S., Baker, K. E., & Coller, J. M. (2009) · Nature · doi:10.1038/nature08265 · Cited by 334 · cited 7×
“Northern RNA Analysis and Sucrose Density Gradients Northern RNA analysis of GAL-driven reporters and sucrose density gradients for polyribosome analysis were performed as previously described (Hu et al., 2009).”
InfluentialSelf-citationBalanced Codon Usage Optimizes Eukaryotic Translational Efficiency
Qian, W., Yang, J.-R., Pearson, N. M., Maclean, C. J., & Zhang, J. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002603 · Cited by 308 · cited 1×
“Several ribosomal profiling studies have failed to detect codon-specific differences in the translation of optimal and non-optimal codons (Ingolia et al., 2009; Qian et al., 2012; Charneski and Hurst, 2013).”
BackgroundPositively Charged Residues Are the Major Determinants of Ribosomal Velocity
Charneski, C. A., & Hurst, L. D. (2013) · PLoS Biology · doi:10.1371/journal.pbio.1001508 · Cited by 299 · cited 1×
“Several ribosomal profiling studies have failed to detect codon-specific differences in the translation of optimal and non-optimal codons (Ingolia et al., 2009; Qian et al., 2012; Charneski and Hurst, 2013).”
BackgroundThe Puf3 protein is a transcript‐specific regulator of mRNA degradation in yeast
Olivas, W. M., & Parker, R. (2000) · The EMBO Journal · doi:10.1093/emboj/19.23.6602 · Cited by 289 · cited 1×
“Numerous examples of each have been described (Goldstrohm et al., 2007; Olivas and Parker, 2000).”
BackgroundGlobal Analysis of mRNA Isoform Half-Lives Reveals Stabilizing and Destabilizing Elements in Yeast
Geisberg, J. V., Moqtaderi, Z., Fan, X., Ozsolak, F., & Struhl, K. (2014) · Cell · doi:10.1016/j.cell.2013.12.026 · Cited by 270 · cited 4×
“However, these features regulate mRNA stability predominantly in a transcript-specific manner through binding of regulatory factors and cannot account for the wide variation in half-lives observed across the entire transcriptome (Geisberg et al., 2014).”
BackgroundInfluentialMutations affecting stability and deadenylation of the yeast MFA2 transcript.Preprint
Muhlrad, D., & Parker, R. (1992) · Genes & Development · doi:10.1101/gad.6.11.2100 · Cited by 221 · cited 9×
“…introduced the synthetic ORFs into a reporter bearing the 50 and 30 UTRs ofMFA2, a well-studied mRNA that is rapidly degraded in the cell (half-life = 3.0 min), a phenomenon shown to be mediated, in part, by elements encoded within its 30 UTR (LaGrandeur and Parker, 1999; Muhlrad and Parker, 1992).”
BackgroundInfluentialHoekema, A., KASTELEIN, R. A., Vasser, M., & de Boer, H. A. (1987) · Molecular and Cellular Biology · doi:10.1128/mcb.7.8.2914-2924.1987 · Cited by 220 · cited 1×
“The link between rare codons and enhanced mRNA turnover rates of reporter mRNAs is consistent with earlier observations for several endogenous transcripts in yeast (Caponigro et al., 1993; Hoekema et al., 1987).”
ResultTranslationally Optimal Codons Associate with Structurally Sensitive Sites in Proteins
Zhou, T., Weems, M., & Wilke, C. O. (2009) · Molecular Biology and Evolution · doi:10.1093/molbev/msp070 · Cited by 213 · cited 2×
“The term codon optimality has been introduced in an attempt to define the differential recognition of codons by the translational apparatus (Zhou et al., 2009; Pechmann and Frydman, 2013).”
BackgroundCaponigro, G., Muhlrad, D., & Parker, R. (1993) · Molecular and Cellular Biology · doi:10.1128/mcb.13.9.5141 · Cited by 189
PUF Protein-mediated Deadenylation Is Catalyzed by Ccr4p
Goldstrohm, A. C., Seay, D. J., Hook, B. A., & Wickens, M. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m609413200 · Cited by 167 · cited 1×
“Numerous examples of each have been described (Goldstrohm et al., 2007; Olivas and Parker, 2000).”
BackgroundThe DEAD-Box Protein Dhh1 Promotes Decapping by Slowing Ribosome Movement
Sweet, T. J., Kovalak, C., & Coller, J. M. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001342 · Cited by 163 · cited 4×
“We have previously shown that inclusion of a cluster of rare arginine codons within the open reading frame (ORF) of a reporter mRNA dramatically enhanced its turnover (Hu et al., 2009; Sweet et al., 2012).”
BackgroundMethodInfluentialSelf-citationIdentification and Comparison of Stable and Unstable mRNAs in Saccharomyces cerevisiae
Herrick, D. J., Parker, R., & Jacobson, A. (1990) · Molecular and Cellular Biology · doi:10.1128/mcb.10.5.2269-2284.1990 · Cited by 126
LaGrandeur, T. E., & Parker, R. (1999) · RNA · doi:10.1017/s1355838299981748 · Cited by 93 · cited 8×
“…introduced the synthetic ORFs into a reporter bearing the 50 and 30 UTRs ofMFA2, a well-studied mRNA that is rapidly degraded in the cell (half-life = 3.0 min), a phenomenon shown to be mediated, in part, by elements encoded within its 30 UTR (LaGrandeur and Parker, 1999; Muhlrad and Parker, 1992).”
BackgroundInfluentialPresnyak, V., & Coller, J. (2013) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2013.03.006 · Cited by 70 · cited 2×
“(C) Representative A260 trace of sucrose density gradient analysis under run-off (D) Distribution of the optimal and non-optimal HIS3 reporters and the RPS20 and toring factor is the DEAD-box RNA helicase DHH1, an integral component of the mRNA decaymachinery (Presnyak and Coller, 2013) that has been shown to act as a…”
BackgroundSelf-citationRNA decay modulates gene expression and controls its fidelity
Ghosh, S., & Jacobson, A. (2010) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.25 · Cited by 70 · cited 2×
“Degradation of most mRNAs in Saccharomyces cerevisiae is initiated by removal of the 30 poly(A) tail (deadenylation), followed by cleavage of the 50 7mGpppN cap (decapping) and exonucleolytic degradation of the mRNA body in a 50-30 direction (Coller and Parker, 2004; Ghosh and Jacobson, 2010).”
BackgroundCaponigro, G., Muhlrad, D., & Parker, R. (1993) · Molecular and Cellular Biology · doi:10.1128/mcb.13.9.5141-5148.1993 · Cited by 64 · cited 1×
“The link between rare codons and enhanced mRNA turnover rates of reporter mRNAs is consistent with earlier observations for several endogenous transcripts in yeast (Caponigro et al., 1993; Hoekema et al., 1987).”
ResultInferring gene function from evolutionary change in signatures of translation efficiency
Kriško, A., Copic, T., Gabaldón, T., Lehner, B., & Supek, F. (2014) · Genome biology · doi:10.1186/gb-2014-15-3-r44 · Cited by 52 · cited 1×
“Therefore, codon optimality is hypothesized to play an important role in modulation of translation elongation rates and the kinetics of protein synthesis (Krisko et al., 2014; Novoa and Ribas de Pouplana, 2012; Pechmann and Frydman, 2013; dos Reis et al., 2004).”
BackgroundEmerging roles for ribonucleoprotein modification and remodeling in controlling RNA fate
Lee, S. R., & Lykke‐Andersen, J. (2013) · Trends in Cell Biology · doi:10.1016/j.tcb.2013.05.001 · Cited by 45 · cited 2×
“RNA features that influence transcript stability have long been sought, and some sequence and/or structural elements located within 50 and 30 UTRs have been implicated in contributing to the decay of a subset of mRNAs (Lee and Lykke-Andersen, 2013; Muhlrad and Parker, 1992; Geisberg et al., 2014).”
Background
Flagged first, then by citations
2 of the 43 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Delivering the Messenger: Advances in Technologies for Therapeutic mRNA Delivery
Kowalski, P. S., Rudra, A., Miao, L., & Anderson, D. G. (2019) · Molecular Therapy · doi:10.1016/j.ymthe.2019.02.012 · Cited by 1,127
“The modification of rare codons in protein-coding sequences with synonymous frequently occurring codons, so-called codon optimization, can result in order-of-magnitude changes in expression levels.(5,6) Modification of the 50 mRNA cap can also enhance mRNA translation by inhibiting RNA decapping and improving resistan…”
Emerging issues in AAV-mediated in vivo gene therapy
Colella, P., Ronzitti, G., & Mingozzi, F. (2018) · Molecular Therapy - Methods & Clinical Development · doi:10.1016/j.omtm.2017.11.007 · Cited by 881
Engineering circular RNA for potent and stable translation in eukaryotic cells
Wesselhoeft, R. A., Kowalski, P. S., & Anderson, D. G. (2018) · Nature Communications · doi:10.1038/s41467-018-05096-6 · Cited by 853
Codon optimality, bias and usage in translation and mRNA decay
Hanson, G., & Coller, J. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.91 · Cited by 825
Self-citationThe Stress Granule Transcriptome Reveals Principles of mRNA Accumulation in Stress Granules
Khong, A., Matheny, T., Jain, S., Mitchell, S. F., Wheeler, J. R., & Parker, R. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.10.015 · Cited by 787
“Codon Optimality: The fraction of the optimal codon for each gene was calculated using a custom script based on codon stabilization coefficients presented in a previous report (Presnyak et al., 2016).”
Influential
Metadata
- Authors
- Presnyak, V., Alhusaini, N., Chen, Y.-H., Martin, S., Morris, N., Kline, N., Olson, S., Weinberg, D., Baker, K. E., Graveley, B. R., & Coller, J.
- Affiliations
- Case Western Reserve University (US)
- UConn Health (US)
- University of California, San Francisco (US)
- Corresponding author
- Coller, Jeff
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 160
- Issue
- 6
- Pages
- 1111-1124
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4359748
- OpenAlex
- W2013321787
- Cited by
- 1,078
- References
- 43
- Citations by year
- 2026: 94 · 2025: 139 · 2024: 122 · 2023: 115 · 2022: 77 · 2021: 127 · 2020: 93 · 2019: 70 · 2018: 96 · 2017: 68 · 2016: 57 · 2015: 20
- FWCI
- 34.90
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (GM080465, GM095621)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA modifications and cancer
- Keywords
- codon optimality, mRNA stability, mRNA degradation, codon usage bias, synonymous codons, ribosome translocation, translation elongation, gene expression regulation, mRNA half-life
- MeSH terms
- Codon, RNA, Fungal, RNA, Messenger, Saccharomyces cerevisiae, Protein Biosynthesis, RNA Stability
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