The DOI matches its Crossref record; 155 of the 156 references it cites were found in a registry or an index.
Functional Segregation of the Human Dorsomedial Prefrontal Cortex
Open accessAbstract
The human dorsomedial prefrontal cortex (dmPFC) has been implicated in various complex cognitive processes, including social cognition. To unravel its functional organization, we assessed the dmPFC's regional heterogeneity, connectivity patterns, and functional profiles. First, the heterogeneity of a dmPFC seed, engaged during social processing, was investigated by assessing local differences in whole-brain coactivation profiles. Second, functional connectivity of the ensuing dmPFC clusters was compared by task-constrained meta-analytic coactivation mapping and task-unconstrained resting-state correlations. Third, dmPFC clusters were functionally profiled by forward/reverse inference. The dmPFC seed was thus segregated into 4 clusters (rostroventral, rostrodorsal, caudal-right, and caudal-left). Both rostral clusters were connected to the amygdala and hippocampus and associated with memory and social cognitive tasks in functional decoding. The rostroventral cluster exhibited strongest connectivity to the default mode network. Unlike the rostral segregation, the caudal dmPFC was divided by hemispheres. The caudal-right cluster was strongly connected to a frontoparietal network (dorsal attention network), whereas the caudal-left cluster was strongly connected to the anterior midcingulate cortex and bilateral anterior insula (salience network). In conclusion, we demonstrate that a dmPFC seed reflecting social processing can be divided into 4 separate functional modules that contribute to distinct facets of advanced human cognition.
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
“in addition to performance monitoring, dorsomedial PFC is involved in social cognition, mental state inference, and social judgments (Eickhoff et al., 2016).”
From Family-based care buffers the stress sensitizing effect of early deprivation on executive functioning difficulties in adolescence (2023) · cites this paper as Eickhoff et al., 2016
In the citing paper
“The anterior insula and dorsomedial PFC have known functional roles in threat processing and anxiety responses and are prominent members of the neural salience network (Downar et al, 2002;Eickhoff et al, 2014); these regions likely interact with the BNST to express an aversive emotional state during anticipation of threat”
From The human BNST: functional role in anxiety and addiction (2016) · cites this paper as Eickhoff et al, 2014
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
Algorithm AS 136: A K-Means Clustering Algorithm
Hartigan, J. A., & Wong, M. A. (1979) · Applied Statistics · doi:10.2307/2346830 · Cited by 14,523
Jain, A. K., Murty, M. N., & Flynn, P. J. (1999) · ACM Computing Surveys · doi:10.1145/331499.331504 · Cited by 13,925
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Finding groups in data: an introduction to cluster analysis
(1991) · Choice Reviews Online · doi:10.5860/choice.28-4558 · Cited by 10,537
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
Flagged first, then by citations
1 of the 156 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–159 of 159
Ge, R., Gregory, E., Wang, J., Ainsworth, N. J., Jian, W., Yang, C., Wang, G., & Vila‐Rodriguez, F. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.02.051 · Cited by 14
CBPtools: a Python package for regional connectivity-based parcellation
Reuter, N., Genon, S., Masouleh, S. K., Hoffstaedter, F., Liu, X., Tobias Kalenscher, A., Eickhoff, S. B., & Patil, K. R. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02046-1 · Cited by 12
Self-citationWade, M., McLaughlin, K. A., Buzzell, G. A., Fox, N. A., Zeanah, C. H., & Nelson, C. A. (2023) · Child Development · doi:10.1111/cdev.13863 · Cited by 12
Hensel, L., Lüdtke, J., Brouzou, K. O., Eickhoff, S. B., Kamp, D., & Schilbach, L. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae096 · Cited by 13
Self-citationMadden, D., Stephens, T. M., Scott, J., O’Neal, C. M., Prather, K. Y., Hoffmeister, J. R., Ding, L., Dunn, I. F., Conner, A. K., & Yuan, H. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1576393 · Cited by 11
“Moreover, through an exploratory, whole-brain analysis, we also found that the dmPFC, another key region for the advanced human cognition (Eickhoff et al., 2016), presents connectivity as an even stronger indicator of cognitive performance with a correlation coefficient of r = 0.79 ( p 0.001),…”
InfluentialWong, N. M. L., Shao, R., Yeung, P., Khong, P., Hui, E. S. K., Schooling, C. M., Leung, G. M., & Lee, T. M. C. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.09.028 · Cited by 11
“, 2013) and may also be involved in attention control functions through connecting with the cognitive control network (Eickhoff et al., 2016).”
BackgroundYue, C., Wu, D., Bai, F., Shi, Y., Yu, H., Xie, C., & Zhang, Z. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.04.013 · Cited by 11
Functional connectivity patterns of trait empathy are associated with age
Tremblay, M., Deschamps, I., Tousignant, B., & Jackson, P. L. (2022) · Brain and Cognition · doi:10.1016/j.bandc.2022.105859 · Cited by 11
Diffuse optical tomography for mapping cerebral hemodynamics and functional connectivity in delirium
Jiang, S., Huang, J., Yang, H., Czuma, R., Farley, L., Cohen‐Oram, A., Hartney, K. E., Chechotka, K., Kozel, F. A., & Jiang, H. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13827 · Cited by 9
“53 Recent studies in depression pathophysiology suggest that DMPFC dysconnectivity is a distinct biotype of depression characterized by prominent anhedonia.”
BackgroundLumaca, M., Vuust, P., & Baggio, G. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab307 · Cited by 8
Social cognition in schizophrenia: Validation of an ecological fMRI task
Briend, F., Marzloff, V., Brazo, P., Lecardeur, L., Leroux, E., Razafimandimby, A., & Dollfus, S. (2019) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2019.03.004 · Cited by 9
The neural basis of shared preference learning
Farmer, H., Hertz, U., & Hamilton, A. F. D. C. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz076 · Cited by 11
Subcortical Anatomy of the Default Mode Network: a functional and structural connectivity studyPreprint
Alves, P. N., Foulon, C., Karolis, V. R., Bzdok, D., Margulies, D. S., Emmanuelle Volle, C., & de Schotten, M. T. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/528679 · Cited by 8
Self-citationChiou, R. Y.-C., Cox, C. R., & Ralph, M. A. L. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac135 · Cited by 7
“The dmPFC shares a similar functional profile to other DN regions during a variety of social–cognitive tasks (Hiser and Koenigs 2018) and is reliably linked with other core nodes of the DN, particularly the vmPFC and PCC/RSC (e.g. Bzdok et al. 2015; Eickhoff et al. 2016; Jackson et al. 2020).”
Heterogeneous fractionation profiles of meta-analytic coactivation networks
Laird, A. R., Riedel, M. C., Okoe, M., Jianu, R., Ray, K. L., Eickhoff, S. B., Smith, S. M., Fox, P. T., & Sutherland, M. T. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.037 · Cited by 7
“This procedure has been consistently applied in our recent work (c.f. Eickhoff et al., 2016; Ray et al., 2015; Bzdok et al., 2015), and was originally established by Eickhoff et al. (2011).”
MethodSelf-citationKim, H., Kwon, J.-H., & Kim, J.-J. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.609004 · Cited by 6
Self-disorders in schizophrenia – and ERP study of pre-reflective and reflective self-experience
Piani, M. C., Jandl, M., Morishima, Y., Nordgaard, J., & Koenig, T. W. (2025) · Schizophrenia Research · doi:10.1016/j.schres.2025.03.026 · Cited by 5
“…in activity of this region in self-referential processing, attributing it either to difficulties in decision-making when attributing traits to the self or others or to difficulties in attributing mental states to others (Eickhoff et al., 2016; Potvin et al., 2019; van der Meer et al., 2010).”
Merchant, J. S., Glaros, S. B., Edakoth, E., Harris, R., Tchangalova, N., & Redcay, E. (2025) · Aperture Neuro · doi:10.52294/001c.138339 · Cited by 7
Hollarek, M., van Buuren, M., Asscheman, J. S., Cillessen, A. H. N., Koot, S., van Lier, P. A. C., & Krabbendam, L. (2023) · Social Neuroscience · doi:10.1080/17470919.2023.2207837 · Cited by 5
A Pluralist Framework for the Philosophy of Social Neuroscience
Barberis, S. D., Branca, I., & Venturelli, A. N. (2017) · Springer eBooks · doi:10.1007/978-3-319-68421-5_21 · Cited by 5
Regional homogeneity of intrinsic brain activity related to the main alexithymia dimensions
Dai, H., Li, M., Mei, M., & Sun, X. (2018) · General Psychiatry · doi:10.1136/gpsych-2018-000003 · Cited by 5
Family Members of Those with SUDs: Examining Associations between Family and PFC Functioning
Agner, H., Bradshaw, S. D., Winfrey, L., Zielinski, M., & Shumway, S. T. (2020) · Alcoholism Treatment Quarterly · doi:10.1080/07347324.2020.1787117 · Cited by 5
Na, C.-H., Jütten, K., Forster, S. D., Clusmann, H., & Mainz, V. (2022) · Brain Sciences · doi:10.3390/brainsci12111463 · Cited by 5
“This understanding of the DMPFC as an important hub region for integrating complex higher order functions is strongly supported by recent findings ofthe functional and anatomical segregation of the DMPFC [72] into four distinct clusters, distinguishing a rostrodorsal, a rostroventral, and right and left caudal cluster…”
ResultThe neural correlates of moral comparison
Wen, X., Xie, J., Cant, J. S., Xiang, Y., Xu, F., Lin, J., Huang, R., & Mo, L. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107662 · Cited by 4
Potvin, S., Tikàsz, A., Lungu, O., Stip, É., Zaharieva, V., Lalonde, P., Lipp, O., & Mendrek, A. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00109 · Cited by 4
“Apart from its wellestablished role in the processes involved in self-other distinction (45), the dmPFC also seems to play a role in action selection (46, 47).”
Teghil, A., Wiener, M., & Boccia, M. (2025) · Neuropsychology Review · doi:10.1007/s11065-025-09662-w · Cited by 3
“All the thresholded ALE maps were computed using p values from the previous step, a cluster-level inference at the 0.05 significance level with 1000 threshold permutations and a cluster-forming threshold of p 0.001 uncorrected (Eickhoff et al., 2016a, 2016b).”
InfluentialZielinski, M., D’Aniello, C., Bradshaw, S. D., Shumway, S. T., & Edwards, L. (2022) · Contemporary Family Therapy · doi:10.1007/s10591-022-09639-4 · Cited by 3
Tahamata, V. M., Fan, Y., Li, W., Lin, Y.-N., Martínez, R. M., Goh, K. K., Chen, Y., & Chen, C. (2025) · Brain and Behavior · doi:10.1002/brb3.70438 · Cited by 3
Access and content of abstract concepts
Desai, R. H. (2019) · Physics of Life Reviews · doi:10.1016/j.plrev.2019.03.010 · Cited by 3
Ambrasė, A., Müller, V. I., Camilleri, J. A., Wong, H. Y., & Derntl, B. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00277 · Cited by 4
“4A) in the medial SFG extending into ParaCG (located in the dorsomedial prefrontal cortex (dmPFC), Eickhoff et al., 2014), left AG extending into superior division of the lOCC, medial precuneus extending into posterior cingulate gyrus (PCG), and the right temporal pole (TP).”
Lee, K. H., Lee, H. Y., Jeon, J. E., Lee, M. H., Lee, J., Shin, J., Seo, M. C., Lee, Y. J., & Kim, S. J. (2025) · Journal of Sleep Research · doi:10.1111/jsr.70052 · Cited by 2
Hidden population modes in social brain morphology: Its parts are more than its sumPreprint
Kiesow, H., Spreng, R. N., Holmes, A. J., Chakravarty, M. M., Marquand, A. F., Yeo, B. T. T., & Bzdok, D. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.07.241497 · Cited by 2
“In addition to the TPJ as a region critical for realizing high-level social thoughts like perspective taking, a parallel line of research has instead emphasized the mPFC in many other forms of social interaction (Danilo Bzdok et al., 2013; Eickhoff et al., 2016; Schurz et al., 2014).”
BackgroundSelf-citationComparing the neural bases of self- and social-reappraisal
He, Z., Cohen, N., Shu, J., Bo, K., Wager, T. D., & Ochsner, K. N. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf189 · Cited by 1
Fonseca, K., Nemati, P., Jounghani, A. R., Henning, E., & Soltanlou, M. (2025) · Cognitive Development · doi:10.1016/j.cogdev.2025.101636 · Cited by 1
The Neural Mechanisms of Strategic Decision-Making
Konovalov, A. (2026) · Springer eBooks · doi:10.1007/978-3-032-02925-6_25 · Cited by 1
Steroid-Responsive Mania Secondary to Pachymeningitis of the Right Frontal Lobe
Solomon, E. A., Murphy, A. C., Siegel, A. M., & Taylor, G. (2020) · Journal of the Academy of Consultation-Liaison Psychiatry · doi:10.1016/j.psym.2020.09.011 · Cited by 1
Guo, D., & Shing, Y. L. (2024) · European Psychologist · doi:10.1027/1016-9040/a000536 · Cited by 1
Social Processes in the Experience and Regulation of Emotions
Shu, J. (2019) · doi:10.7916/d8-66fa-qg64 · Cited by 1
Lerman, I. R., Davis, B., Huang, M., Huang, C. W., Sorkin, L., Proudfoot, J., Zhong, E., Kimball, D., Rao, R., Simon, B., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/367979 · Cited by 1
“interoceptive components of pain conditions, negative emotions, response conflicts, decision-making, and appraisal of unfavorable personal outcomes (95, 96).”
BackgroundYang, E., Milisav, F., Kopál, J., Holmes, A. J., Mitsis, G. D., Mišić, B., Finn, E. S., & Bzdok, D. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.24.505147 · Cited by 1
Self-citationPersonality Genetics and Health in Super-Seniors
Nelson, J. M. T. (2015) · Summit (Simon Fraser University)
Ketamine Usage at Subanesthetic Doses and Psychoactive Effects
Flack, D., & Dakwar, E. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800212-4.00063-7
Functional Localization of Brain Activity in the Iowa Gambling Task Using Graph-Theoretical Methods
Bolt, T. (2015) · WakeSpace Scholarship (Wake Forest University)
Xu, Y., Niu, P., Liu, T., Tian, J., Wang, A., Yang, Z., Liu, S., Chen, Y., & Chen, J. (2025) · Andrology · doi:10.1111/andr.70064
“In the central research of HSDD, the characteristic brain regions can be divided into four functional systems: autonomous, 58 motivational, emotional, and cognitive.”
Studying Programmers Without Programming: Investigating Expertise Using Resting State fMRI
Karas, Z., Gold, B. P., Zhou, V., Reardon, N., Polk, T. A., Chang, C. E., & Huang, Y. (2025) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1109/icse55347.2025.00164
“These regions have been implicated in social processing [43], as well as self evaluation [44], respectively.”
Li, Y., Keller, M., Zweerings, J., Zhang, C., Cong, F., & Mathiak, K. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-07495-8
Viviano, R. P., & Damoiseaux, J. S. (2021) · Figshare · doi:10.6084/m9.figshare.14707741
Merchant, J. S., Glaros, S., Edakoth, E., Harris, R., Tchangalova, N., & Redcay, E. (2025) · University Libraries (University of Maryland) · doi:10.13016/vjkt-mvyr
Walker, C. S., Barnoin, G., Bennett, M., Hughes, C. S., Tremblay‐Mercier, J., Spreng, R. N., Poirier, J., Morris, L. S., Villeneuve, S., & Geddes, M. R. (2026) · medRxiv · doi:10.64898/2026.01.10.26343857
“More rostral dmPFC regions, including the cluster identified, are preferentially connected with default mode and limbic areas (including vmPFC) and are engaged when evaluating others’ intentions and emotional states (Bzdok et al., 2013; Eickhoff et al., 2016).”
Zhang, D., Zhang, X., Wang, L., Yan, X., Lei, X., Tang, M., Gao, J., & Wang, Y. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1766192
O’Farrell, A., Harroum, N., El-Housseini, A., Blanchet, P. J., Hanganu, A., & Neva, J. L. (2026) · Clinical Neurophysiology · doi:10.1016/j.clinph.2026.2111740
Functional and structural brain adaptations to changing and uncertain environments in humans
Romand-Monnier, M. (2019) · theses.fr (ABES) · doi:10.70675/7d79d3bez9f17z4c88z8b47z69ffbb1c1c92
Functional Brain Asymmetry Reveals Heterogeneous Subtypes in Autism Spectrum Disorder
Kim, C. Y., Kim, S., & Park, B. J. (2026) · Autism Research · doi:10.1002/aur.70304
Wang, Y., Zhu, P., Xiang, J., Gu, J., Chen, X., Chen, F., Zou, L., Qin, F., Cheng, D., Guan, D., et al. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1809961
Pan, Y., Yu, X., Wang, Z., & Zhou, J. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1903951
“Statically, we observed enhanced coupling between the left rostral hippocampus and core nodes of the DMN (precuneus and IPL).”
InfluentialHierarchical gist representation of events in human brain during naturalistic stimuli
Li, K. X., Ren, P., Liu, Q., Zhang, Z., Li, S., Li, Z., Sun, L., Ding, X., & Liang, X. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.122191
The neural architecture of first-person moral choice: a demand-dependent working model
Arrouet, A., Chandler, J. A., Laureys, S., & Hoyer, R. S. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.107017
Metadata
- Authors
- Eickhoff, S. B., Laird, A. R., Fox, P. T., Bzdok, D., & Hensel, L.
- Affiliations
- Forschungszentrum Jülich (DE)
- Florida International University (US)
- The University of Texas at San Antonio Health Science Center (US)
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-10-20
- Volume
- 26
- Issue
- 1
- Pages
- 304-321
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC4677979
- OpenAlex
- W2077842462
- Cited by
- 159
- References
- 156
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 7 · 2023: 5 · 2022: 9 · 2021: 13 · 2020: 16 · 2019: 20 · 2018: 18 · 2017: 20 · 2016: 12 · 2015: 17 · 2014: 1
- FWCI
- 1.61
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cerebral Cortex (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (, EI 816/6-1, 816/4-1, DFG, EI 816/4–1, 3071/3-1, EI 816/4–1)
- Studienstiftung des Deutschen Volkes
- National Institute of Mental Health (R01MH074457, EI 816/6-, MH074457)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- dorsomedial prefrontal cortex, functional segregation, regional heterogeneity, social cognition, functional connectivity, default mode network, dorsal attention network, salience network, amygdala, hippocampus, memory, hemispheric lateralization
- MeSH terms
- Attention, Brain Mapping, Cerebral Cortex, Cognition, Humans, Magnetic Resonance Imaging, Memory, Nerve Net, Neural Pathways, Rest, Social Behavior, Prefrontal Cortex
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