Public Health Approaches to Type 2 Diabetes Prevention: the US National Diabetes Prevention Program and Beyond
Open accessAbstract
PURPOSE OF REVIEW: This article highlights foundational evidence, translation studies, and current research behind type 2 diabetes prevention efforts worldwide, with focus on high-risk populations, and whole-population approaches as catalysts to global prevention. RECENT FINDINGS: Continued focus on the goals of foundational lifestyle change program trials and their global translations, and the targeting of those at highest risk through both in-person and virtual modes of program delivery, is critical. Whole-population approaches (e.g., socioeconomic policies, healthy food promotion, environmental/systems changes) and awareness raising are essential complements to efforts aimed at high-risk populations. Successful type 2 diabetes prevention strategies are being realized in the USA through the National Diabetes Prevention Program and elsewhere in the world. A multi-tiered approach involving appropriate risk targeting and whole-population efforts is essential to curb the global diabetes epidemic.
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?
Population reach increased from about 35,000 eligible participants as of 2016 to over 324,000 by early 2019.
“In turn, population reach has been fast increasing from about 35,000 eligible participants served as of 20163 to over 324,000 by early 2019.10”
From <p>Current Perspectives on the Impact of the National Diabetes Prevention Program: Building on Successes and Overcoming Challenges</p> (2020) · cites this paper as [10]
The “Analysis Sample” section reports that more than 297,000 people attended at least one National DPP session through January 2019, supporting substantial reach by early 2019. It does not establish the cited figure of over 324,000. The 2016 figure has a separate citation in the citing sentence and is not assessed against this source. (LLM, conf=0.84)
Experimental — accuracy not yet measuredNearly three-quarters of participants (71.7%) do not achieve the ≥5% weight loss goal according to a CDC report.
“Nearly three-quarters of participants (71.7%) do not achieve the ≥5% weight loss goal according to a CDC report.10”
From <p>Current Perspectives on the Impact of the National Diabetes Prevention Program: Building on Successes and Overcoming Challenges</p> (2020) · cites this paper as [10]
Table 1 in the Results reports that 68.6% of the analyzed National DPP participants lost less than 5% of their weight. This supports the point that most did not meet the goal, but not the attributed figure of 71.7%. (LLM, conf=0.88)
Experimental — accuracy not yet measuredMen and younger individuals are under-represented in the NDPP; only 24.7% of NDPP participants were men in a 2019 CDC report.
“A challenge is that men and younger individuals are under-represented in the NDPP, and additional participation gaps exist for priority populations.”
From <p>Current Perspectives on the Impact of the National Diabetes Prevention Program: Building on Successes and Overcoming Challenges</p> (2020) · cites this paper as [10]
Online delivery exceeds the reach of in-person NDPP programs.
“Indeed, despite fewer online than in-person NDPP suppliers7 and later approval for dissemination, online delivery exceeds the reach of in-person programs.10”
From <p>Current Perspectives on the Impact of the National Diabetes Prevention Program: Building on Successes and Overcoming Challenges</p> (2020) · cites this paper as [10]
Over 3000 organizations provided the NDPP between 2012 and 2019.
“Over 3000 organizations provided the NDPP between 2012–2019,10”
From <p>Current Perspectives on the Impact of the National Diabetes Prevention Program: Building on Successes and Overcoming Challenges</p> (2020) · cites this paper as [10]
Approximately half of organizations that provided the NDPP between 2012 and 2019 remained in 2020.
“Half of suppliers who previously offered the NDPP appear to have since extinguished their services.”
From <p>Current Perspectives on the Impact of the National Diabetes Prevention Program: Building on Successes and Overcoming Challenges</p> (2020) · cites this paper as [10]
The US National DPP—a Case Study reports more than 3,000 participating organizations as of April 2019, but gives no count of organizations that later stopped offering the program. A search for organization attrition and discontinued services found no passage supporting the claim that half had ceased by 2020. (LLM, conf=0.77)
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.
Cites
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011 · see citing works
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873 · cited 3× · see citing works
“CDC considers this threshold to be the minimum dose to begin seeing lifestyle and weight change that can impact type 2 diabetes [40]. Mantel-Haenszel chi-square tests of difference were used to assess bivariate associations between participants’ characteristics and duration of participation. Results were stratified by…”
InfluentialEconomic Costs of Diabetes in the U.S. in 2002
American Diabetes Association (2003) · Diabetes Care · doi:10.2337/diacare.26.3.917 · Cited by 4,147 · see citing works
Diabetes Prevention Program Research Group (2009) · The Lancet · doi:10.1016/s0140-6736(09)61457-4 · Cited by 3,020 · see citing works
Lindström, J., Ilanne-Parikka, P., Peltonen, M., Aunola, S., Eriksson, J. G., Hemiö, K., Hämäläinen, H., Härkönen, P., Keinänen-Kiukaanniemi, S., Laakso, M., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69701-8 · Cited by 1,799 · see citing works
(2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00291-0 · Cited by 1,029 · see citing works
Tate, D. F., Jackvony, E. H., & Wing, R. R. (2003) · JAMA · doi:10.1001/jama.289.14.1833 · Cited by 666 · see citing works
Gong, Q., Gregg, E. W., Wang, J., An, Y., Zhang, P., Yang, W., Li, H., Li, H., Jiang, Y., Shuai, Y., et al. (2011) · Diabetologia · doi:10.1007/s00125-010-1948-9 · Cited by 251 · see citing works
Self-citationReach and use of diabetes prevention services in the United States, 2016-2017.
Ali, M. K., McKeever Bullard, K., Imperatore, G., Benoit, S. R., Rolka, D. B., Albright, A. L., & Gregg, E. W. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.3160 · Cited by 153 · see citing works
Self-citationPrimary Care Providers’ Prediabetes Screening, Testing, and Referral Behaviors
Nhim, K., Khan, T., Gruss, S. M., Wozniak, G., Kirley, K., Schumacher, P., Luman, E. T., & Albright, A. (2018) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2018.04.017 · Cited by 54 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 35
- [1]• International Diabetes Federation. Diabetes atlas 8th edition 2017 global fact sheet. 2017. Available at https://www.idf.org/aboutdiabetes/what-is-diabetes/facts-figures.html. Accessed April 14, 2019. Findings indicate the significant and costly economic and disease burden that diabetes has across the world.
- [5]Noble D Mathur R Dent T Meads C Greenhalgh T Risk models and scores for type 2 diabetes: systematic review Br Med J (Clin Res Ed) 2011 343 d7163 10.1136/bmj.d7163 PMC3225074 22123912 · DOI · Paper page
- [6]Modesti PA Galanti G Cala P Calabrese M Lifestyle interventions in preventing new type 2 diabetes in Asian populations Intern Emerg Med 2016 11 3 375 384 10.1007/s11739-015-1325-2 26475162 · DOI
- [7]Pearson-Stuttard J Bandosz P Rehm CD Penalvo J Whitsel L Gaziano T Conrad Z Wilde P Micha R Lloyd-Williams F Capewell S Mozaffarian D O’Flaherty M Reducing US cardiovascular disease burden and disparities through national and targeted dietary policies: a modelling study PLoS Med 2017 14 6 e1002311 10.1371/journal.pmed.1002311 28586351 PMC5460790 · DOI
- [8]Konchak JN Moran MR O'Brien MJ Kandula NR Ackermann RT The state of diabetes prevention policy in the USA following the Affordable Care Act Curr Diab Rep 2016 16 6 55 10.1007/s11892-016-0742-6. 27145778 PMC5210175 · DOI
- [9]Pan XR Li GW Hu YH Wang JX Yang WY An ZX Hu ZX Juan-Lin Xiao JZ Cao HB Liu PA Jiang XG Jiang YY Wang JP Zheng H Zhang H Bennett PH Howard BV Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study Diabetes Care 1997 20 4 537 544 10.2337/diacare.20.4.537 9096977 · DOI · Paper page
- [10]Li G Zhang P Wang J Gregg EW Yang W Gong Q Li H Li H Jiang Y An Y Shuai Y Zhang B Zhang J Thompson TJ Gerzoff RB Roglic G Hu Y Bennett PH The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study Lancet 2008 371 9626 1783 1789 10.1016/s0140-6736(08)60766-7 18502303 · DOI · Paper page
- [12]Gong Qiuhong Zhang Ping Wang Jinping Ma Jixiang An Yali Chen Yanyan Zhang Bo Feng Xinxing Li Hui Chen Xiaoping Cheng Yiling J Gregg Edward W Hu Yinghua Bennett Peter H Li Guangwei Qian Xin Zhang Lihong Hui Yuanchi He Siyao Wang Xuan Thompson Theodore J. Gerzoff Robert B. Liu Pingan Jiang Yayun Hu Zexi Wang Jixing Jiang Xigui Zhang Jingling Xi Ruimin Pang Chengyan Li Chunqin Hu Xiuying Yang Wenying An Zuoxin Sun Xinquan Chen Chuan Gang Yong Liu Juan Xiao Jianzhong Cao Huibi Zheng Hui Zhang Hui Li Hongliang Hong Jing Liu Xueli Zhao Fang Wang Wenjuan Chen Bo Howard Barbara V. Engelgau Michael M. Roglic Gojka Morbidity and mortality after lifestyle intervention for people with impaired glucose tolerance: 30-year results of the Da Qing Diabetes Prevention Outcome Study The Lancet Diabetes & Endocrinology 2019 7 6 452 461 10.1016/S2213-8587(19)30093-2 31036503 PMC8172050 · DOI · Paper page
- [16]Diabetes Prevention Program Research Group The 10-year cost-effectiveness of lifestyle intervention or metformin for diabetes prevention: an intent-to-treat analysis of the DPP/DPPOS Diabetes Care 2012 35 4 723 730 10.2337/dc11-1468 22442395 PMC3308273 · DOI · Paper page
- [17]The Diabetes Prevention Program Research Group The Diabetes Prevention Program: design and methods for a clinical trial in the prevention of type 2 diabetes Diabetes Care 1999 22 4 623 634 10.2337/diacare.22.4.623 10189543 PMC1351026 · DOI · Paper page
- [19]Makrilakis K Liatis S Grammatikou S Perrea D Katsilambros N Implementation and effectiveness of the first community lifestyle intervention programme to prevent type 2 diabetes in Greece. The DE-PLAN study Diabet Med 2010 27 4 459 465 10.1111/j.1464-5491.2010.02918.x 20536519 · DOI
- [20]Kosaka K Noda M Kuzuya T Prevention of type 2 diabetes by lifestyle intervention: a Japanese trial in IGT males Diabetes Res Clin Pract 2005 67 2 152 162 10.1016/j.diabres.2004.06.010 15649575 · DOI · Paper page
- [21]Ramachandran A Snehalatha C Mary S Mukesh B Bhaskar AD Vijay V The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1) Diabetologia 2006 49 2 289 297 10.1007/s00125-005-0097-z 16391903 · DOI · Paper page
- [22]Ramachandran A Snehalatha C Yamuna A Mary S Ping Z Cost-effectiveness of the interventions in the primary prevention of diabetes among Asian Indians: within-trial results of the Indian Diabetes Prevention Programme (IDPP) Diabetes Care 2007 30 10 2548 2552 10.2337/dc07-0150 17670917 · DOI
- [23]Davidson A Translational research: what does it mean? Anesthesiology 2011 115 5 909 911 10.1097/ALN.0b013e3182337a5e 21934485 · DOI
- [24]Ali MK Echouffo-Tcheugui J Williamson DF How effective were lifestyle interventions in real-world settings that were modeled on the Diabetes Prevention Program? Health Aff (Millwood) 2012 31 1 67 75 10.1377/hlthaff.2011.1009 22232096 · DOI · Paper page
- [25]Gilis-Januszewska A Piwonska-Solska B Lindstrom J Wojtowicz E Tuomilehto J Schwarz PEH Determinants of weight outcomes in type 2 diabetes prevention intervention in primary health care setting (the DE-PLAN project) BMC Public Health 2018 18 1 97 10.1186/s12889-017-4977-1 29291708 PMC5749019 · DOI
- [26]Thomas C Sadler S Breeze P Squires H Gillett M Brennan A Assessing the potential return on investment of the proposed UK NHS diabetes prevention programme in different population subgroups: an economic evaluation Br Med J Open 2017 7 8 e014953 10.1136/bmjopen-2016-014953 PMC5724090 28827235 · DOI
- [27]Laatikainen T Dunbar JA Chapman A Kilkkinen A Vartiainen E Heistaro S Philpot B Absetz P Bunker S O'Neil A Reddy P Best JD Janus ED Prevention of type 2 diabetes by lifestyle intervention in an Australian primary health care setting: Greater Green Triangle (GGT) Diabetes Prevention Project BMC Public Health 2007 7 249 10.1186/1471-2458-7-249 17877832 PMC2039742 · DOI
- [28]Janus ED Best JD Davis-Lameloise N Philpot B Hernan A Bennett CM O'Reilly S Carter R Vartiainen E Dunbar JA Melbourne Diabetes Prevention Study Research Group Scaling-up from an implementation trial to state-wide coverage: results from the preliminary Melbourne Diabetes Prevention Study Trials. 2012 13 152 10.1186/1745-6215-13-152 22929458 PMC3502588 · DOI
- [30]Ramachandran A Snehalatha C Ram J Selvam S Simon M Nanditha A Shetty AS Godsland IF Chaturvedi N Majeed A Oliver N Toumazou C Alberti KG Johnston DG Effectiveness of mobile phone messaging in prevention of type 2 diabetes by lifestyle modification in men in India: a prospective, parallel-group, randomised controlled trial Lancet Diabetes Endocrinol 2013 1 3 191 198 10.1016/s2213-8587(13)70067-6 24622367 · DOI · Paper page
- [31]Nanditha A Snehalatha C Raghavan A Vinitha R Satheesh K Susairaj P Simon M Selvam S Ram J Naveen Kumar AP Godsland IF Oliver N Johnston DG Ramachandran A The post-trial analysis of the Indian SMS diabetes prevention study shows persistent beneficial effects of lifestyle intervention Diabetes Res Clin Pract 2018 142 213 221 10.1016/j.diabres.2018.05.042 29859274 · DOI
- [33]Herman WH The economics of diabetes prevention Med Clin North Am 2011 95 2 373 384 10.1016/j.mcna.2010.11.010 21281839 PMC3061284 · DOI
- [35]Albright AL Gregg EW Preventing type 2 diabetes in communities across the U.S.: the National Diabetes Prevention Program Am J Prev Med 2013 44 4 Suppl 4 S346 S351 10.1016/j.amepre.2012.12.009 23498297 PMC4539613 · DOI
- [40]Ely EK Gruss SM Luman ET Gregg EW Ali MK Nhim K Rolka DB Albright AL A national effort to prevent type 2 diabetes: participant-level evaluation of CDC’s National Diabetes Prevention Program Diabetes Care 2017 40 10 1331 1341 10.2337/dc16-2099 28500215 PMC5606310 · DOI · Paper page
- [44]Hafez D Fedewa A Moran M O'Brien M Ackermann R Kullgren JT Workplace interventions to prevent type 2 diabetes mellitus: a narrative review Curr Diab Rep 2017 17 2 9 10.1007/s11892-017-0840-0. 28150162 PMC5669619 · DOI
- [47]Andreyeva T Long MW Brownell KD The impact of food prices on consumption: a systematic review of research on the price elasticity of demand for food Am J Public Health 2010 100 2 216 222 10.2105/ajph.2008.151415 20019319 PMC2804646 · DOI · Paper page
- [48]Calancie L Leeman J Jilcott Pitts SB Khan LK Fleischhacker S Evenson KR Schreiner M Byker C Owens C McGuirt J Barnidge E Dean W Johnson D Kolodinsky J Piltch E Pinard C Quinn E Whetstone L Ammerman A Nutrition-related policy and environmental strategies to prevent obesity in rural communities: a systematic review of the literature, 2002-2013 Prev Chronic Dis 2015 12 E57 10.5888/pcd12.140540 25927605 PMC4416478 · DOI
- [49]Olstad DL Teychenne M Minaker LM Taber DR Raine KD Nykiforuk CI Can policy ameliorate socioeconomic inequities in obesity and obesity-related behaviours? A systematic review of the impact of universal policies on adults and children Obes Rev 2016 17 12 1198 1217 10.1111/obr.12457 27484468 · DOI
- [50]Lichtenstein AH Carson JS Johnson RK Kris-Etherton PM Pappas A Rupp L Food-intake patterns assessed by using front-of-pack labeling program criteria associated with better diet quality and lower cardiometabolic risk Am J Clin Nutr 2014 99 3 454 462 10.3945/ajcn.113.071407 24368435 · DOI
- [51]Hyseni L Atkinson M Bromley H Orton L Lloyd-Williams F McGill R The effects of policy actions to improve population dietary patterns and prevent diet-related non-communicable diseases: scoping review Eur J Clin Nutr 2017 71 6 694 711 10.1038/ejcn.2016.234 27901036 PMC5470099 · DOI
- [52]Niebylski ML Redburn KA Duhaney T Campbell NR Healthy food subsidies and unhealthy food taxation: a systematic review of the evidence Nutrition 2015 31 6 787 795 10.1016/j.nut.2014.12.010 25933484 · DOI
- [53]Colchero MA Popkin BM Rivera JA Ng SW Beverage purchases from stores in Mexico under the excise tax on sugar sweetened beverages: observational study Br Med J (Clin Res Ed) 2016 352 h6704 PMC4986313 26738745
- [54]Albright A, Devlin H, and Zhang X: Integrating Nutrition Therapy into Community-Based Diabetes Prevention Programs (pp 579). In: Franz MJ, Evert AB, editors. American Diabetes Association Guide to Nutrition Therapy for Diabetes, 3rd Edition; 2012.
- [55]Mayne SL Auchincloss AH Michael YL Impact of policy and built environment changes on obesity-related outcomes: a systematic review of naturally occurring experiments Obes Rev 2015 16 5 362 375 10.1111/obr.12269 25753170 PMC4789114 · DOI
Cited by
Sorted by citations
Lewey, J., Beckie, T. M., Brown, H. L., Brown, S. D., Garovic, V. D., Khan, S. S., Miller, E. C., Sharma, G., Mehta, L. S., & on behalf of the American Heart Association Cardiovascular Disease and Stroke in Women and Underrepresented Populations Committee of the Council on Clinical Cardiology; Council on Cardiopulmonary, C. C. (2024) · Circulation · doi:10.1161/cir.0000000000001212 · Cited by 229 · see citing works
2022 National standards for diabetes self-management education and support
Davis, J., Fischl, A. H., Beck, J., Browning, L., Carter, A., Condon, J. E., Dennison, M., Francis, T., Hughes, P. J., Jaime, S., et al. (2022) · Diabetes Care · doi:10.2337/dc21-2396 · Cited by 191 · see citing works
Van Rhoon, L., Byrne, M., Morrissey, E., Murphy, J., & McSharry, J. (2020) · DIGITAL HEALTH · doi:10.1177/2055207620914427 · Cited by 182 · see citing works
2022 National standards for diabetes self-management education and support
Davis, J., Fischl, A. H., Beck, J., Browning, L., Carter, A., Condon, J. E., Dennison, M., Francis, T., Hughes, P. J., Jaime, S., et al. (2022) · The Science of Diabetes Self-Management and Care · doi:10.1177/26350106211072203 · Cited by 169 · see citing works
Ravaut, M., Sadeghi, H., Leung, K. K., Volkovs, M., Kornas, K., Harish, V., Watson, T., Lewis, G. F., Weisman, A., Poutanen, T., et al. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00394-8 · Cited by 121 · see citing works
Evidence and challenges for translation and population impact of the Diabetes Prevention Program.
Ackermann, R. T., & O’Brien, M. J. (2020) · Current Diabetes Reports · doi:10.1007/s11892-020-1293-4 · Cited by 62 · see citing works
Ritchie, N. D., Baucom, K. J., & Sauder, K. A. (2020) · Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy · doi:10.2147/dmso.s218334 · Cited by 70 · see citing works
Ndumele, C. E., Rodriguez, F., Dixon, D. L., Khan, S. S., Mukherjee, D., Bajaj, M., Bangalore, S., Bozkurt, B., Breathett, K., Clarke, S. L., et al. (2026) · JACC · doi:10.1016/j.jacc.2026.03.056 · Cited by 90 · see citing works
Kuo, S., Ye, W., Wang, D., McEwen, L. N., Villatoro Santos, C., & Herman, W. H. (2025) · Diabetes Care · doi:10.2337/dc24-1110 · Cited by 19 · see citing works
Opie, R. S., Jacka, F. N., Marx, W., Rocks, T., Young, C., & O’Neil, A. (2021) · Nutrients · doi:10.3390/nu13113766 · Cited by 16 · see citing works
- Authors
- Gruss, S. M., Nhim, K., Gregg, E., Bell, M., Luman, E., & Albright, A.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Imperial College London (GB)
- Corresponding author
- Gruss, Stephanie M.
- Venue
- Current Diabetes Reports
- Published
- 2019-08-05
- Volume
- 19
- Issue
- 9
- Pages
- 78-78
- ISSN
- 1534-4827 (ISSN-L)
- 1539-0829
- PMC
- PMC6682852
- OpenAlex
- W2966350165
- Cited by
- 179
- References
- 10
- Citations by year
- 2026: 19 · 2025: 31 · 2024: 23 · 2023: 34 · 2022: 33 · 2021: 28 · 2020: 10 · 2019: 1
- FWCI
- 2.77
- Type
- journal article
- Language
- en
- Update notices
- correction (2020-06-27)
- Open access
- hybrid
- doi.org
- Locations
- Current Diabetes Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Spiral (Imperial College London) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- type 2 diabetes prevention, National Diabetes Prevention Program, lifestyle intervention, vulnerable populations, socio-economic policy, healthy eating promotion, diabetes epidemic
- MeSH terms
- Diabetes Mellitus, Type 2, Health Promotion, Humans, Life Style, Preventive Health Services, Public Health, Risk Factors, United States
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