The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Cerebellar-Prefrontal Network Connectivity and Negative Symptoms in Schizophrenia
Open accessAbstract
OBJECTIVE: The interpretability of results in psychiatric neuroimaging is significantly limited by an overreliance on correlational relationships. Purely correlational studies cannot alone determine whether behavior-imaging relationships are causal to illness, functionally compensatory processes, or purely epiphenomena. Negative symptoms (e.g., anhedonia, amotivation, and expressive deficits) are refractory to current medications and are among the foremost causes of disability in schizophrenia. The authors used a two-step approach in identifying and then empirically testing a brain network model of schizophrenia symptoms. METHODS: In the first cohort (N=44), a data-driven resting-state functional connectivity analysis was used to identify a network with connectivity that corresponds to negative symptom severity. In the second cohort (N=11), this network connectivity was modulated with 5 days of twice-daily transcranial magnetic stimulation (TMS) to the cerebellar midline. RESULTS: A breakdown of connectivity in a specific dorsolateral prefrontal cortex-to-cerebellum network directly corresponded to negative symptom severity. Restoration of network connectivity with TMS corresponded to amelioration of negative symptoms, showing a statistically significant strong relationship of negative symptom change in response to functional connectivity change. CONCLUSIONS: These results demonstrate that a connectivity breakdown between the cerebellum and the right dorsolateral prefrontal cortex is associated with negative symptom severity and that correction of this breakdown ameliorates negative symptom severity, supporting a novel network hypothesis for medication-refractory negative symptoms and suggesting that network manipulation may establish causal relationships between network markers and clinical phenomena.
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
“In subjects with schizophrenia, CBM-iTBS can alter brain metabolism and cerebellar-frontal functional connectivity (Basavaraju et al., 2021; Brady et al., 2019; Cho et al., 2012; Halko et al., 2014; Singh et al., 2019), as well as positively impact affective and cognitive symptoms (Basavaraju et al., 2021; Demirtas-Tatlidede et al., 2010; Garg et al., 2016; Shinn et al., 2023; Zhu et al., 2021).”
From A double-blind, randomized, sham-controlled clinical trial of cerebellar intermittent theta burst stimulation for bipolar disorder: Safety, tolerability, mood and cognitive effects (2025) · cites this paper as Brady et al., 2019
Experimental — accuracy not yet measured
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 Positive and Negative Syndrome Scale (PANSS) for schizophrenia.
Kay, S. R., Fiszbein, A., & Opler, L. A. (1987) · Schizophrenia Bulletin · doi:10.1093/schbul/13.2.261 · Cited by 21,378
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Functional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124
DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging
Yan, C., Wang, X., Zuo, X., & Zang, Y. (2016) · Neuroinformatics · doi:10.1007/s12021-016-9299-4 · Cited by 3,935
Resting-state connectivity biomarkers define neurophysiological subtypes of depression
Drysdale, A. T., Grosenick, L., Downar, J., Dunlop, K., Mansouri, F., Meng, Y., Fetcho, R. N., Zebley, B., Oathes, D. J., Etkin, A., et al. (2017) · Nature Medicine · doi:10.1038/nm.4246 · Cited by 2,170
Physiologic Dysfunction of Dorsolateral Prefrontal Cortex in Schizophrenia
Weinberger, D. R. (1986) · Archives of General Psychiatry · doi:10.1001/archpsyc.1986.01800020020004 · Cited by 2,025
The Scale for the Assessment of Negative Symptoms (SANS): Conceptual and Theoretical Foundations
Andreasen, N. C. (1989) · The British Journal of Psychiatry · doi:10.1192/s0007125000291496 · Cited by 1,532
Andreasen, N. C., Paradiso, S., & OʼLeary, D. S. (1998) · Schizophrenia Bulletin · doi:10.1093/oxfordjournals.schbul.a033321 · Cited by 1,193
Cited by
Sorted by citations
Items 301–372 of 372
Recovery From Psychotic Disorder: A Surgical Case With Lhermitte-Duclos Disease
Guo, J., Gong, J., Wei, H., Li, Y., Zhou, Z., Yang, J., Fu, X., Sun, C., Liu, X., Yang, X., et al. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.01.016 · Cited by 1
Lan, H., Suo, X., Zuo, C., Ni, W., Wang, S., Kemp, G. J., & Gong, Q. (2023) · Chinese Medical Journal · doi:10.1097/cm9.0000000000002538 · Cited by 1
Manfredi, N., Zhang, R., Seltzberg, H., Johnson, M., & Ehrie, J. (2023) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-023-00262-7 · Cited by 1
Bortoletto, R., Candolo, A., Nicotra, A., Saetti, L., Perini, L., Balestrieri, M., Colizzi, M., & Comacchio, C. (2024) · Brain Sciences · doi:10.3390/brainsci14040362 · Cited by 1
Ochoa, S., Verdaguer-Rodríguez, M., Nicolau, N. B., Garreta, F., Garcia, B., Haro, J. M., Vila, È., Hernández, M. J., Escandell, M. J., Muñoz, A., et al. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1360004 · Cited by 1
Emerging Non-invasive Brain Stimulations for Schizophrenia
Wang, X., Blumberger, D. M., Ismail, P., & Foll, B. L. (2024) · Royal Society of Chemistry eBooks · doi:10.1039/9781837672059-00156 · Cited by 1
Okamoto, N., Ikenouchi, A., Ide, S., Hashimoto, Y., & Yoshimura, R. (2021) · The Cerebellum · doi:10.1007/s12311-021-01338-4 · Cited by 1
3M_BANTOR: A regression framework for multitask and multisession brain network distance metrics
Tomlinson, C. E., Laurienti, P. J., Lyday, R. G., & Simpson, S. L. (2022) · Network Neuroscience · doi:10.1162/netn_a_00274 · Cited by 1
A Brief History of the Cerebellum
Schmahmann, J. D. (2023) · Springer eBooks · doi:10.1007/978-3-031-15070-8_2 · Cited by 1
Self-citationInvestigating cerebellar contributions to sensory processing
Andrew, D. (2020) · UWSpace (University of Waterloo) · Cited by 1
Liu, L., Chen, D., Huang, F., Jia, T., Pan, M., Zhao, M., Bu, X., Wang, Y., Cao, M., Qian, Q., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.14.472533 · Cited by 1
Caulfield, K. A., Fleischmann, H. H., George, M. S., & McTeague, L. M. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.08.021 · Cited by 1
Editorial: Cerebellar structure and function in psychotic disorders: from mechanisms to clinics
Cao, H., Shinn, A. K., & Guo, W. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1344882 · Cited by 1
Turning on and off the cerebellum in drug-induced memory
Eixea, I. M., & Melchor Eixea, I. (2024) · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya) · doi:10.6035/14112.2024.428833 · Cited by 1
Wang, X.-Y., Zhang, Y.-B., Mu, R.-X., Cui, L., & Wang, H. (2024) · World Journal of Psychiatry · doi:10.5498/wjp.v14.i11.1618 · Cited by 2
Personalization and network specificity of cerebellar TMS in schizophreniaPreprint
Joncas, E., Payne, E., Lee, E., Demo, I., Nye, M., Chouinard, V., Dannhauer, M., Brady, R. O., Halko, M. A., & Parlikar, R. U. (2025) · medRxiv · doi:10.64898/2025.12.19.25342404 · Cited by 1
Self-citation2019 Articles of Import and Impact
Kalin, N. H., Binder, E. B., Brady, K. T., Lewis, D. A., Pine, D. S., Rodríguez, C. I., Trivedi, M. H., & Rosenberg, S. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.19111124
2020 Articles of Import and Impact
Kalin, N. H., Binder, E. B., Brady, K. T., Lewis, D. A., Pine, D. S., Rodríguez, C. I., Trivedi, M. H., & Edwards, M. L. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.20111654
Walsh, N. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/e4qt9
The Cerebellar Cognitive Affective Syndrome and the Neuropsychiatry of the Cerebellum
Schmahmann, J. D. (2021) · Springer eBooks · doi:10.1007/978-3-319-97911-3_77-2 · Cited by 1
Self-citationrTMS modulates precuneus-hippocampal subregion circuit in subjective cognitive declinePreprint
Chen, J., Hu, G., Xue, C., Qi, W., Xu, W., Chen, S., Rao, J., Liu, W., Zhang, F., & Zhang, X. (2020) · Research Square · doi:10.21203/rs.3.rs-47474/v1
Niznikiewicz, M. A., Brady, R. O., Whitfield, S., Keshavan, M. S., Zhang, T., Li, H., Pasternak, O., Shenton, M. E., Wang, J., & Stone, W. S. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2022.05.004
Self-citationZhao, S., Cao, Y., Kratochvil, Z., Liu, X., Fan, J.-W., Gu, Y.-W., Wang, X.-Y., Fu, Y.-F., Chang, X., Wu, X., et al. (2022) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2105139
The Role of Dysfunctional Reward Processing in Psychotic Disorders
Kaiser, S. (2023) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2022.08.007
D’Ambra, A. F., Vlasov, K. Y., Jung, S. J., Ganesan, S., Antzoulatos, E. G., & Fioravante, D. (2023) · eLife · doi:10.7554/elife.87252.1.sa4
Csukly, G., Orbán-Szigeti, B., Suri, K., Zsigmond, R., Hermán, L., Simon, V., Kabaji, A., Bata, B., Hársfalvi, P., Vass, E., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2740388/v1
Amaral, D. S. (2023) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.17.2023.tde-08052023-105940
Multiscale Analysis to Explore Neural Bases of Clinically Relevant Cognitive Processes
Greene, A. S. (2023) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2023.04.002
Gu, Y.-W., Fan, J.-W., Zhao, S., Liu, X., Yin, H. J., & Cui, L. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e25915
Dynamics of apatho-abolic manifestations in patients with negative symptoms in schizophrenia
Maruta, N., & Kushnir, Y. A. (2024) · Reports of Vinnytsia National Medical University · doi:10.31393/reports-vnmedical-2024-28(2)-15
Delavari, F., Awada, J., Bolton, T. A. W., Alouf, F., Carruzzo, F., Kuenzi, N., Kaliuzhna, M., Geffen, T., Katthagen, T., Schlagenhauf, F., et al. (2024) · medRxiv · doi:10.1101/2024.07.11.24310281
Transcranial Magnetic Stimulation in Schizophrenia Patients
Jang, M., Kim, M., Park, S., & Kwon, J. (2024) · Korean Journal of Schizophrenia Research · doi:10.16946/kjsr.2024.27.2.49
Charting new horizons in neuroscience: The advent of brain network disorders
Zhao, G. (2024) · Brain Network Disorders · doi:10.1016/j.bnd.2024.10.007
Predicting Mental and Neurological Illnesses Based on Cerebellar Normative FeaturesPreprint
Kim, M., Sharma, N., Leonardsen, E. H., Rutherford, S. E., Selbæk, G., Persson, K., Steen, N. E., Smeland, O. B., Ueland, T., Richard, G., et al. (2024) · medRxiv · doi:10.1101/2024.12.10.24318590
Onar, G., Azizoglu, S. I., Büyükakça, E., & Öncü, F. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06723-5 · Cited by 1
Wu, C., Gong, C., Jia, Z., Xia, Y., Zhao, Y., Wu, Y., Chai, T., & Sun, L. (2025) · Hearing Research · doi:10.1016/j.heares.2025.109384
Latent Growth Models of Longitudinal Changes in Functional Connectivity during Early Stage Psychosis
Holton, K. M., Chan, S. Y., Brockmeier, A. J., & Hall, M. (2025) · Neuroinformatics · doi:10.1007/s12021-025-09742-5
Impaired functional neuronal connectivity in schizophrenia negative symptoms
Rogalski, J. K., & Wysokiński, A. (2025) · Behavioural Brain Research · doi:10.1016/j.bbr.2025.115865
(2020) · American Psychiatric Association Publishing eBooks · doi:10.1176/appi.books.9781615373758.db22bibliography
(2020) · American Psychiatric Association Publishing eBooks · doi:10.1176/appi.books.9781615373758.bm01
Chen, J., Gao, L., Che, Z., Chen, S., Xue, C., Wu, H., Qi, W., Huang, Y., Fan, J., Zhong, Y., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70895
Wu, H., Yu, M., He, Y., Liu, W., Fan, Y., Xu, W., Den, H., Long, Y., Liu, B., Liu, K., et al. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1706553
Noninvasive transcranial brain stimulation to treat schizophrenia
Mondino, M., Palm, U., Valiengo, L. D. C. L., & Brunelin, J. (2025) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-443-26602-7.00020-8
Csukly, G., Orbán-Szigeti, B., Suri, K., Zsigmond, R., Hermán, L., Simon, V., Kabaji, A., Bata, B., Hársfalvi, P., Vass, E., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25632906
Afia, A. B., Vila, È., MacDowell, K. S., Ormazabal, A., Leza, J. C., Haro, J. M., Artuch, R., Ramos, B., & Garcia-Bueno, B. (2021) · Figshare · doi:10.6084/m9.figshare.16608941
Xu, X., Luo, S., Wang, X., Wen, X., Yin, J., Luo, X., He, B., Liang, C., Xiong, S., Zhu, D., et al. (2023) · Figshare · doi:10.6084/m9.figshare.24054274
Medial prefrontal cortex encodes implicit temporal expectations in micePreprint
Faccini, F. L., Cabec, P. L., Spaeth, L., Pasquet, M., Ciocca, D., Giersch, A., & Isope, P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.15.694406
Negative Symptoms in Schizophrenia: Neurobiological Bases
Pallis, K., Kirschner, M., Kaiser, S., & Bègue, I. (2025) · Comprehensive approach to psychiatry · doi:10.1007/978-3-032-06209-3_5
Cerebellar Connectivity Addresses Gaps in Cognitive Deficits and Negative Symptoms in Psychosis
Damme, K. S. F. (2026) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2025.11.006
Stella, C., de Hoyos, L., Perdiguero, A. M., Díaz-Caneja, C. M., Andreu-Bernabeu, Á., Costas, J., Gurriarán, X., Fañanás, L., Bobes, J., González-Pinto, A., et al. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-03859-0
Li, J., Jiang, D., Huang, X., Wang, X., Xia, T., & Zhang, W. (2026) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2026.02.028
Lu, C., Li, S., Zhang, X., Han, Y., Wang, L., Sun, W., Zhang, C., Wang, S., Li, S., Li, J., et al. (2026) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-026-02221-1
Effective Connectivity Identifies Divergent Cerebro-Cerebellar Network Organization in Schizophrenia
Pearson, K., Aberizk, K., An, C., Hodges, G., van Erp, T. G. M., Calhoun, V. D., & Turner, J. A. (2026) · The Cerebellum · doi:10.1007/s12311-026-01983-7
Rôle des variants d’épissage de la géphyrine dans la diversité synaptique
Reis, R. D. (2021) · theses.fr (ABES) · doi:10.70675/68262ae7z2347z4296zbaa1zb4fe4ec67901
Ribeiro, S. (2024) · theses.fr (ABES) · doi:10.70675/1453a13fz37faz4864z919fz37f22064406f
Chen, S., Zhang, L., Pan, L., Weng, B., Mo, Y., Quan, X., Cen, G., Jia, X., Liu, Y., & Liang, Z. (2026) · CNS Neuroscience & Therapeutics · doi:10.1002/cns.70871
He, J., Wei, X., Wang, X., & Yang, H. (2026) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2026.104982
Kumar, N., Hans, G., Madiha, M., Prasad, S. K., & Narnoli, S. (2026) · Indian Journal of Psychiatry · doi:10.4103/indianjpsychiatry_494_25
Yue, X., Dai, Z., Diao, Z., Tan, X., & Qiu, S. (2026) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2026.112025
Teng, Y.-L., Gu, Z., Ding, L., Shi, H., Gao, Z. Z., & Xu, H. Y. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1860185
Bai, Y., Tamargo, R. J., Achee, M. C., Ward, H. B., & Sheffield, J. M. (2026) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000471
Accelerated DMN-targeted cTBS improves processing speed deficits in schizophrenia
Connolly, J. G., Blyth, S. H., Yildiz, G., Rogers, B. P., Vandekar, S., Halko, M. A., Brady, R. O., & Ward, H. B. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03798-8
Self-citationCerebellar rhythms: mechanisms, functions and translational opportunities
Spampinato, D. A., Antonioni, A., D'Angelo, E. U., & Koch, G. (2026) · Nature reviews. Neuroscience · doi:10.1038/s41583-026-01072-y · Cited by 3
Ghaffarvand-Mokari, M., Najafi, Z. S., Heysieattalab, S., & Navi, F. F. T. (2026) · The Cerebellum · doi:10.1007/s12311-026-02079-y
Zhou, W., Liang, F., Chen, N., Zhang, Y., Wang, X., Li, X., Lu, D., Guo, F., Yao, Y., Zhu, J., et al. (2026) · General Psychiatry · doi:10.1002/gps3.70045
van der Heijden, H. C., Cao, A., van Gool, R., Yekedüz, M. K., Vrolix, L., Barrett, T., Randall, E. T., Golden, M. J., Goldman, M., Lu, B., et al. (2026) · Schizophrenia Research · doi:10.1016/j.schres.2026.09.039
Brain Stimulation as a Treatment for Apathy: A Scoping Review of Effects and Safety
Grewal, P., Seidman, M. B., Chasen, J., Lench, D. H., Dickens, I., Brennan, E. A., Rodriguez‐Porcel, F. E., Kindred, J. H., George, M. S., Kautz, S., et al. (2026) · Journal of Neuropsychiatry · doi:10.1176/appi.neuropsych.20250297
Metadata
- Authors
- Brady, R. O., Gonsalvez, I., Lee, I., Öngür, D., Seidman, L. J., Schmahmann, J. D., Eack, S. M., Keshavan, M. S., Pascual-Leone, A., & Halko, M. A.
- Affiliations
- Beth Israel Deaconess Medical Center (US)
- From the Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston (Brady, Lee, Seidman, Keshavan); the Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, Mass. (Brady, Öngür); Harvard Medical School, Boston (Brady, Öngür); St. Elizabeth’s Medical Center, Boston (Gonsalvez); the Department of Neurology, Ataxia Unit, Cognitive Behavioral Neurology Unit, and Laboratory for Neuroanatomy and Cerebellar Neurobiology, Massachusetts General Hospital...
- Corresponding author
- Halko, Mark A.
- ORCID
- Venue
- American Journal of Psychiatry
- Published
- 2019-07-01
- Volume
- 176
- Issue
- 7
- Pages
- 512-520
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- PMC
- PMC6760327
- OpenAlex
- W2913822739
- Cited by
- 372
- References
- 44
- Citations by year
- 2026: 27 · 2025: 51 · 2024: 62 · 2023: 53 · 2022: 58 · 2021: 59 · 2020: 47 · 2019: 14
- FWCI
- 25.87
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Sidney R. Baer, Jr. Foundation
- National Institute of Mental Health (K23MH100623, K24MH104449, R01MH111868, R01MH092440)
- National Center for Research Resources (UL1RR025758)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Keywords
- schizophrenia, negative symptoms, cerebellum, dorsolateral prefrontal cortex, resting-state functional connectivity, transcranial magnetic stimulation, anhedonia, amotivation
- MeSH terms
- beta-Lactamases, Cerebellum, Female, Humans, Male, Models, Biological, Nerve Net, Psychiatric Status Rating Scales, Schizophrenia, Severity of Illness Index, Prefrontal Cortex, Transcranial Magnetic Stimulation, Young Adult, Neuroimaging
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