The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index; none of the 19 sources its claims cite is checked for support yet.
Polylox barcoding reveals haematopoietic stem cell fates realized in vivo
Open accessAbstract
Developmental deconvolution of complex organs and tissues at the level of individual cells remains challenging. Non-invasive genetic fate mapping has been widely used, but the low number of distinct fluorescent marker proteins limits its resolution. Much higher numbers of cell markers have been generated using viral integration sites, viral barcodes, and strategies based on transposons and CRISPR-Cas9 genome editing; however, temporal and tissue-specific induction of barcodes in situ has not been achieved. Here we report the development of an artificial DNA recombination locus (termed Polylox) that enables broadly applicable endogenous barcoding based on the Cre-loxP recombination system. Polylox recombination in situ reaches a practical diversity of several hundred thousand barcodes, allowing tagging of single cells. We have used this experimental system, combined with fate mapping, to assess haematopoietic stem cell (HSC) fates in vivo. Classical models of haematopoietic lineage specification assume a tree with few major branches. More recently, driven in part by the development of more efficient single-cell assays and improved transplantation efficiencies, different models have been proposed, in which unilineage priming may occur in mice and humans at the level of HSCs. We have introduced barcodes into HSC progenitors in embryonic mice, and found that the adult HSC compartment is a mosaic of embryo-derived HSC clones, some of which are unexpectedly large. Most HSC clones gave rise to multilineage or oligolineage fates, arguing against unilineage priming, and suggesting coherent usage of the potential of cells in a clone. The spreading of barcodes, both after induction in embryos and in adult mice, revealed a basic split between common myeloid-erythroid development and common lymphocyte development, supporting the long-held but contested view of a tree-like haematopoietic structure.
Overview
CoChat Summary
Written by AI from the paper’s full text.
TL;DR
The authors developed Polylox, an artificial Cre-loxP recombination cassette that enables endogenous DNA barcoding with a practical diversity of several hundred thousand barcodes in situ. Using Polylox to fate-map haematopoietic stem cells in mice, they found that adult HSC clones are often multilineage or oligolineage and that haematopoiesis follows a bifurcating myelo-erythroid versus common lymphoid structure.
Key findings
- Polylox recombination can generate 1,866,868 distinct codes in silico, with all codes reachable by 10 recombination events; experimentally, 52% of reads from 30,000 splenic B cells were recombined and 849 different barcodes were identified.
- Adult bone marrow HSC were a mosaic of embryo-derived clones: >95% of adult HSC had recombined barcodes after E9.5 tamoxifen induction, and 14 high-confidence single-progenitor barcodes gave adult clone sizes from 0.2% to 3.8%, including clones above 1.5%.
- Most HSC clones gave multilineage or oligolineage fates, arguing against unilineage priming; among 117 peripheral barcodes, 54 were represented in all assayed lineages and 44 in several lineages.
- Barcode concordance revealed a basic split between common myeloid-erythroid development and common lymphocyte development, with B1a as a distinct lineage within the lymphoid branch; CMP barcodes were found in both EryP and granulocytes with highly correlated frequencies, but about 1/3 of EryP and granulocyte barcodes were undetected in CMP.
Methods
- Polylox consists of ten loxP sites in alternating orientations spaced 178 bp apart, flanking nine unique DNA segments derived from the Arabidopsis thaliana AT2G21770 gene; it was targeted into the Rosa26 locus in ES cells and mice.
- In vivo barcoding used Rosa26Polylox/CreERT2 or Rosa26PolyloxTie2MCM mice, with tamoxifen induction in embryos at E9.5 or in adult mice; sorted cell populations were analyzed by PCR and single molecule real time (SMRT) sequencing across the Polylox locus.
- Barcodes were decoded by aligning the nine forward and reverse-complement segments to circular consensus reads; barcode generation probabilities (Pgen) were computed with a Markov chain model over all possible excisions and inversions.
Limitations
- The paper states that barcodes may be missed in samples, so the range of fates acquired by particular clones may sometimes be underestimated; it also states that it cannot formally conclude that individual cells within a clone underwent multilineage differentiation.
- The paper notes that the quantitative output of adult HSC is controversial, that adult sampling repeats showed lower overlap indicating overall smaller clone sizes, and that paucity of barcodes in CLP precluded robust correlation analysis.
- The Methods state that no randomization was done, no blinding was done, no animals were excluded, and no statistical methods were used to predetermine sample size.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
58 Own result · 24 Own interpretation · 10 Own method · 5 No full text of the sources · 3 Check pending · 2 Not checked yet · 1 Sources not found · 1 No basis given
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The spreading of barcodes, both after induction in embryos and in adult mice, revealed a basic split between common myeloid-erythroid development and common lymphocyte development, supporting the long-held but contested view of a tree-like haematopoietic structure.”
§ Polylox barcoding reveals haematopoietic stem cell fates realized in vivo > Abstract
plainstates an association- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We then focused on barcodes induced with high confidence in single embryonic HSC progenitors (Pgen < 10−4), obtaining 14 such barcodes (Fig. 4b).”
§ Polylox barcoding reveals haematopoietic stem cell fates realized in vivo > Abstract
plainn = 2 ·- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The dichotomy of myelo-erythroid and lymphoid branches was not disturbed when all barcodes were analyzed, hence it remained evident even in the presence of non-clonal barcode ‘background’ (Extended Data Fig. 7e).”
§ Polylox barcoding reveals haematopoietic stem cell fates realized in vivo > Abstract
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper states — it cites no source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Polylox recombination in situ reaches a practical diversity of several hundred thousand barcodes, allowing tagging of single cells.”
§ Polylox barcoding reveals haematopoietic stem cell fates realized in vivo > Abstract
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we induced Polylox recombination in a Rosa26Polylox/CreERT2 mouse, and 18 hours later analyzed the acutely generated barcodes in 30,000 splenic B cells. 52% of the recovered reads were recombined, indicating recombination in about half of the cells.”
§ Polylox barcoding reveals haematopoietic stem cell fates realized in vivo > Abstract
hedgedSingle case- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- It may state two separate claims as one. 28
- Probably not a substantial claim. 17
- The quote only partly states this claim. 1
Create a free account to see these claims.
Create a free account to see these assumptions.
61 more claims
Create a free account to see all 104 claims and to verify the 6 references still open.
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
“In contrast to the transplantation setting, native haematopoiesis has been described as polyclonal32,33, whereby several thousand clones contribute to blood formation.”
From Clonal tracing with somatic epimutations reveals dynamics of blood ageing (2025) · cites this paper as [32]
Citations
Cites
Generalized lacZ expression with the ROSA26 Cre reporter strain
Soriano, P. (1999) · Nature Genetics · doi:10.1038/5007 · Cited by 5,237
A clonogenic common myeloid progenitor that gives rise to all myeloid lineages
Akashi, K., Traver, D., Miyamoto, T., & Weissman, I. L. (2000) · Nature · doi:10.1038/35004599 · Cited by 2,617
Restoration of p53 function leads to tumour regression in vivo
Ventura, A., Kirsch, D. G., McLaughlin, M. E., Tuveson, D. A., Grimm, J., Lintault, L., Newman, J., Reczek, E. E., Weissleder, R., & Jacks, T. (2007) · Nature · doi:10.1038/nature05541 · Cited by 1,820
HPRT-deficient (Lesch–Nyhan) mouse embryos derived from germline colonization by cultured cells
Hooper, M., Hardy, K., Handyside, A. H., Hunter, S., & Monk, M. (1987) · Nature · doi:10.1038/326292a0 · Cited by 1,218
Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors
Paul, F., Arkin, Y., Giladi, A., Jaitin, D. A., Kenigsberg, E., Keren-Shaul, H., Winter, D., Lara-Astiaso, D., Gury, M., Weiner, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.013 · Cited by 1,082
Human haematopoietic stem cell lineage commitment is a continuous process
Velten, L., Haas, S. F., Raffel, S., Blaszkiewicz, S., Islam, S., Hennig, B. P., Hirche, C., Lutz, C., Buss, E. C., Nowak, D., et al. (2017) · Nature Cell Biology · doi:10.1038/ncb3493 · Cited by 925
Clonal dynamics of native haematopoiesis
Sun, J., Ramos, A., Chapman, B., Johnnidis, J. B., Le, L., Ho, Y.-J., Klein, A., Hofmann, O., & Camargo, F. D. (2014) · Nature · doi:10.1038/nature13824 · Cited by 821
Yamamoto, R., Morita, Y., Ooehara, J., Hamanaka, S., Onodera, M., Rudolph, K. L., Ema, H., & Nakauchi, H. (2013) · Cell · doi:10.1016/j.cell.2013.08.007 · Cited by 819
Distinct routes of lineage development reshape the human blood hierarchy across ontogeny
Notta, F., Zandi, S., Takayama, N., Dobson, S., Gan, O. I., Wilson, G., Kaufmann, K. B., McLeod, J., Laurenti, E., Dunant, C. F., et al. (2016) · Science · doi:10.1126/science.aab2116 · Cited by 780
Fundamental properties of unperturbed haematopoiesis from stem cells in vivo
Busch, K., Klapproth, K., Barile, M., Flossdorf, M., Holland-Letz, T., Schlenner, S. M., Reth, M., Höfer, T., & Rodewald, H.-R. (2015) · Nature · doi:10.1038/nature14242 · Cited by 769
Self-citation
Cited by
Items 401–449 of 449
Single-cell lineage tracing identifies hemogenic endothelial cells in the adult mouse bone marrow
Feng, J., Yang, M., Li, L., Li, C., Livák, F., Chen, J., Zhao, Y., Wang, D., Bhandoola, A., Taylor, N. N., et al. (2026) · eLife · doi:10.7554/elife.109553.3
Qu, X., Razmara, E., Ashiq Khader, C., H’ng, C. H., Vinu, K. K., Martelotto, L. G., Zethoven, M., Rossello, F. J., Amarasinghe, S. L., Powell, D., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-65029-y
Harnessing heterogeneity for the rational design of cell manufacturing
Nokoorani, Y. D., Movasat, H., Giacopino, E., Shahdoost, A., Lipsitz, Y. Y., & Shakiba, N. (2025) · Cell Systems · doi:10.1016/j.cels.2025.101458
BCAT1 is a novel target of MLL fusions and essential for leukemic stem cell transformation
Schmid, T. (2022) · heiDOK (Heidelberg University) · doi:10.11588/heidok.00031737
A computational framework for large-scale cell lineage reconstruction
Kiyota, B. (2024) · cIRcle (University of British Columbia) · doi:10.14288/1.0441463
Gu, S. S. G., Wang, X., Hu, X., Jiang, P., Li, Z., Traugh, N., Bu, X., Tang, Q., Wang, C., Zeng, Z., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13101067
Self-citationGu, S. S. G., Wang, X., Hu, X., Jiang, P., Li, Z., Traugh, N., Bu, X., Tang, Q., Wang, C., Zeng, Z., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13101049
Self-citationRodriguez y Baena, A. (2023) · eScholarship (California Digital Library)
Simultaneous profiling of cell types and lineages in neuro- and gliogenesis
von Berlin, L. (2023) · Open Archive (Karolinska Institutet)
Cellular and Molecular Mechanisms of Hematopoietic Stem Cell Regenerative Capacity Throughout Life
Worthington, A. K. (2023) · eScholarship (California Digital Library)
Artis, T. (2024) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Single-cell lineage tracing identifies hemogenic endothelial cells in the adult mouse bone marrowPreprint
Feng, J., Yang, M., Li, L., Li, C. C., Livák, F., Chen, J., Zhao, Y., Wang, D., Bhandoola, A., Taylor, N. N., et al. (2026) · eLife · doi:10.7554/elife.109553.1
Roles for endogenous aldehydes in haematopoietic ageing and immunity
Beaven, O. (2025) · Oxford University Research Archive (ORA) (University of Oxford) · doi:10.5287/ora-expnowzrb
Cell differentiation, stem cell regulation and impact of the mutations : a stochastic approach
Bonnet, C. (2020) · theses.fr (ABES) · doi:10.70675/f4280114z717cz4049z8b50ze5d948ae4801
Etude de l'hétérogénéité des cellules dendritiques plasmacytoïdes au cours d'une infection in vivo
Abbas, A. (2019) · theses.fr (ABES) · doi:10.70675/079668e7z9744z463ezbc34zbcebe6034de7
Ontogeny of hematopoietic progenitor cells seeding the embryonic thymus
Elsaid, R. (2019) · theses.fr (ABES) · doi:10.70675/42fcff10z3380z47f8zbffbz383cb7f17c67
Stage-specific changes in the Krebs cycle network regulate human erythroid differentiation
Romano, M. (2018) · theses.fr (ABES) · doi:10.70675/4312681cz0207z4923zb100z879f8a73681c
The role of Helios in the hematopoietic stem and progenitor cell development
Cova, G. (2019) · theses.fr (ABES) · doi:10.70675/ef960639z8861z45c3z8b6bz5f80f7aae282
Étapes précoces de la lymphopoïèse humaine
Chabaane, A. (2020) · theses.fr (ABES) · doi:10.70675/efe90881z1a2dz42e9z81a9za2cb987c36f0
Quantifying Haematopoietic Cell Dynamics
Hustin, L. (2022) · theses.fr (ABES) · doi:10.70675/48546646z0fa0z4e9bzb5a0zb1067f26721d
Deciphering the impact of perturbations in developmental hematopoiesis
Sommer, A. (2024) · theses.fr (ABES) · doi:10.70675/10ab0f8az3243z40b8z8d8ezdccd2af897af
Cirovic, B., Nizharadze, T., Dietlein, N., Henrich, C., Höfer, T., & Rodewald, H.-R. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.09.716798
Self-citationAging Is a Key Driver for Adult Acute Myeloid Leukemia
Yin, R. L., & Zhang, H. (2026) · Aging and Cancer · doi:10.1002/aac2.70020
Kamran, M., Nassar, N. N., & Cancelas, J. A. (2026) · Open Biology · doi:10.1098/rsob.260011
A method for CRISPR/Cas9-induced genetic barcoding and lineage tracing in sheep
Hao, D., Xu, X., Li, P., Liu, Y., Liu, G., & Deng, S. (2026) · Scientific Reports · doi:10.1038/s41598-026-49093-y
Ding, X., Liu, G., Liu, B., & Lan, Y. (2026) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2026.103676
Metz, J., Greco, A., Frank, L., Claudino, N., Rodewald, H.-R., & Höfer, T. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.10.724120
Self-citationTranscriptional heterogeneity predicts and enables clonal selection in ageing haematopoiesisPreprint
Li, S., Dominici, M. D., Chen, K., Chen, X., Liu, Y., Zhang, Q., Chavez, J. S., Chen, X., Roeder, T. J., Oguro, H., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-10046174/v1
The development of single-cell lineage tracing technology and its application in immunotherapy
Wang, J., Li, Z., Chen, J., Li, H., Chen, F., Tan, L., Chen, X., Liu, S., Zhang, W., & Shao, H. (2026) · Molecular Therapy Advances · doi:10.1016/j.omta.2026.201802
Inferring differentiation trajectories from T cell clonotype distributionsPreprint
Guryleva, M. V., Danielsson, M., Tibbitt, C. A., Coquet, J. M., & Murrell, B. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.29.735205
Cell lineage tracing: How DNA-barcoding technologies reveal the secrets of ontogenesis
Drach, M., Shkarina, L. N., Бозов, К. Д., Primak, A. L., & Karagyaur, M. N. (2026) · Регенерация органов и тканей. · doi:10.60043/2949-5938-2026-1-6-23
Engineering and diverse biomedical applications of bacteriophytochromes
Han, X., Lv, Y., Qian, S., & Qiu, X. (2026) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2026.07.012
Cell fate decision and lineage specification mechanisms in hematopoiesis
Lee, I., Earth, Y., & Kang, Y.-A. (2026) · Current topics in developmental biology/Current Topics in Developmental Biology · doi:10.1016/bs.ctdb.2026.06.001
In vivo multimodal lineage tracing of mammalian development by DeepTrack barcodingPreprint
Guo, C., Jiang, J., Wang, X., Huang, X., Zhang, S., Shao, C., Zhang, M., Hu, X., Yang, W., Shang, F., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.29.748052
Self-citationThe Pentose Phosphate Pathway Regulates Myelo-Lymphoid Lineage SpecificationPreprint
Cosgrove, J., Donada, A., Lyne, A.-M., Karabacz, N., Rodríguez‐Ramiro, I., Midoun, A., Cabeli, V., Conrad, C., Jouault, G., Durand, A., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.07.747966
Lineage tracing for deciphering tumor evolution and immune microenvironment
Liang, Z., Yue, C., Jiang, C.-Y., Guang-ding, Z., He, D., & Liu, M. (2026) · Trends Open · doi:10.1016/j.treopn.2026.08.014
Cell Lineage Tracing: How DNA-Barcoding Technologies Reveal the Secrets of Ontogenesis
Drach, M., Shkarina, L. N., Бозов, К. Д., Primak, A. L., & Karagyaur, M. N. (2026) · Cell and Tissue Biology · doi:10.1134/s1990519x26060027
Cancer-immunity interface: coevolving genomic instability and cell states
Koplev, S., Muyas, F., & Miller, M. L. (2026) · Trends Open · doi:10.1016/j.treopn.2026.09.010
The Runx1-Gata2 axis: epigenetic architecture of lineage fate
Mallick, S., & Chakraborty, A. (2026) · Molecular Biology Reports · doi:10.1007/s11033-026-12742-6
Kawaguchi, R. K., Ballouz, S., & Gillis, J. (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.19659477
LOTUS: lineage-aware optimal transport reconstructs continuous clonal fate dynamicsPreprint
Lu, J., Hou, H., Zhang, Z., Lin, Y., Lin, Y., & Zhou, P. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.28.762359
The self-renewing lymphoid-biased hematopoietic stem cells support long-term lymphopoiesis in micePreprint
Ma, Y., Li, X., Li, X., Wang, L., Xu, Y., Zhai, J., Wang, J., Lan, Y., Zhou, B., Cheng, T., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.11.02.763559
Lung development: from static snapshots to dynamic lineage trajectories
Ji, H., Bian, Y., Fang, Y., & Ji, H. (2026) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2026.11.004
Somatic Mutations Reveal Lineage Relationships and Age-Related Mutagenesis in Human Hematopoiesis
Osorio, F. G., Rosendahl Huber, A., Oka, R., Verheul, M., Patel, S. H., Hasaart, K., de la Fonteijne, L., Varela, I., Camargo, F. D., & van Boxtel, R. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.11.014 · Cited by 252
Metadata
- Authors
- Pei, W., Feyerabend, T. B., Rössler, J., Wang, X., Postrach, D., Busch, K., Rode, I., Klapproth, K., Dietlein, N., Quedenau, C., Chen, W., Sauer, S., Wolf, S., Höfer, T., & Rodewald, H.-R.
- Affiliations
- German Cancer Research Center (DE)
- Max Delbrück Center (DE)
- Corresponding author
- Höfer, Thomas
- Rodewald, Hans-Reimer
- ORCID
- Venue
- Nature
- Published
- 2017-08-16
- Volume
- 548
- Issue
- 7668
- Pages
- 456-460
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5905670
- OpenAlex
- W2747263575
- Semantic Scholar
- 34620783d9c8f0e9f5a2eba79e0a3d5e90a074c4
- Cited by
- 443
- References
- 34
- Citations by year
- 2026: 43 · 2025: 47 · 2024: 49 · 2023: 41 · 2022: 41 · 2021: 45 · 2020: 68 · 2019: 47 · 2018: 54 · 2017: 8
- FWCI
- 37.59
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (submittedVersion)
- Topics
- Health Sciences › Medicine › Hematology › Hematopoietic Stem Cell Transplantation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Keywords
- hematopoietic stem cells, Cre-loxP recombination, hematopoiesis
- MeSH terms
- Animals, Attachment Sites, Microbiological, Clone Cells, Embryo, Mammalian, Female, Hematopoietic Stem Cells, Lymphocytes, Male, Mosaicism, Recombination, Genetic, Cell Lineage, Integrases, Myeloid Cells, Erythroid Cells, Mice, DNA Barcoding, Taxonomic, Cell Tracking, Single-Cell Analysis
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.
A language model drew the claims from the paper on 2026-11-12, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-11-12 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
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