The relationship between study sponsorship, risks of bias, and research outcomes in atrazine exposure studies conducted in non-human animals: Systematic review and meta-analysis
Open accessAbstract
Background A critical component of systematic review methodology is the assessment of the risks of bias of studies that are included in the review. There is controversy about whether funding source should be included in a risk of bias assessment of animal toxicology studies. Objective To determine whether industry research sponsorship is associated with methodological biases, the results, or conclusions of animal studies examining the effect of exposure to atrazine on reproductive or developmental outcomes. Methods We searched multiple electronic databases and the reference lists of relevant articles to identify original research studies examining the effect of any dose of atrazine exposure at any life stage on reproduction or development in non-human animals. We compared methodological risks of bias, the conclusions of the studies, the statistical significance of the findings, and the magnitude of effect estimates between industry sponsored and non-industry sponsored studies. Results Fifty-one studies met the inclusion criteria. There were no differences in methodological risks of bias in industry versus non-industry sponsored studies. 39 studies tested environmentally relevant concentrations of atrazine (11 industry sponsored, 24 non-industry sponsored, 4 with no funding disclosures). Non-industry sponsored studies (12/24, 50.0%) were more likely to conclude that atrazine was harmful compared to industry sponsored studies (2/11, 18.1%) (p value=0.07). A higher proportion of non-industry sponsored studies reported statistically significant harmful effects (8/24, 33.3%) compared to industry-sponsored studies (1/11; 9.1%) (p value=0.13). The association of industry sponsorship with decreased effect sizes for harm outcomes was inconclusive. Conclusion Our findings support the inclusion of research sponsorship as a risk of bias criterion in tools used to assess risks of bias in animal studies for systematic reviews. The reporting of other empirically based risk of bias criteria for animal studies, such as blinded outcome assessment, randomization, and all animals included in analyses, needs to improve to facilitate the assessment of studies for systematic reviews.
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?
Evidence for preclinical research indicates that funding sources may influence the interpretation of study outcomes.
“Evidence for preclinical research also indicates that funding sources may influence the interpretation of study outcomes [254,260].”
From Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0 (2020) · cites this paper as [254]
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
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552 · see citing works
Improving Bioscience Research Reporting: The ARRIVE Guidelines for Reporting Animal Research
Kilkenny, C., Browne, W. J., Cuthill, I. C., Emerson, M., & Altman, D. G. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000412 · Cited by 7,300 · see citing works
Improving bioscience research reporting: The ARRIVE guidelines for reporting animal research
Kilkenny, C., Browne, W. J., Cuthill, I. C., Emerson, M., & Altman, D. G. (2010) · Journal of Pharmacology and Pharmacotherapeutics · doi:10.4103/0976-500x.72351 · Cited by 6,277 · see citing works
Industry sponsorship and research outcome
Lundh, A., Lexchin, J., Mintzes, B., Schroll, J. B., & Bero, L. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.mr000033.pub3 · Cited by 1,697 · see citing works
Self-citationCan Animal Models of Disease Reliably Inform Human Studies?
van der Worp, H. B., Howells, D. W., Sena, E. S., Porritt, M. J., Rewell, S., O'Collins, V., & Macleod, M. R. (2010) · PLoS Medicine · doi:10.1371/journal.pmed.1000245 · Cited by 1,354 · see citing works
Biomedical research: increasing value, reducing waste.
Macleod, M. R., Michie, S., Roberts, I., Dirnagl, U., Chalmers, I., Ioannidis, J. P. A., Salman, R. A.-S., Chan, A.-W., & Glasziou, P. (2014) · The Lancet · doi:10.1016/s0140-6736(13)62329-6 · Cited by 1,003 · see citing works
Blinding in randomised trials: hiding who got what
Schulz, K. F., & Grimes, D. A. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07816-9 · Cited by 952 · see citing works
Allocation concealment in randomised trials: defending against deciphering
Schulz, K. F., & Grimes, D. A. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07750-4 · Cited by 923 · see citing works
Pooling of Animal Experimental Data Reveals Influence of Study Design and Publication Bias
Macleod, M., O'Collins, T., Howells, D., & Donnan, G. (2004) · Stroke · doi:10.1161/01.str.0000125719.25853.20 · Cited by 692 · see citing works
Industry sponsorship and research outcome
Lundh, A., Sismondo, S., Lexchin, J., Busuioc, O. A., & Bero, L. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.mr000033.pub2 · Cited by 605 · see citing works
Self-citationPublication bias in reports of animal stroke studies leads to major overstatement of efficacy
Sena, E. S., van der Worp, H. B., Bath, P. M. W., Howells, D. W., & Macleod, M. R. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000344 · Cited by 600 · cited 2× · see citing works
“Since the differences in findings between industry and non-industry sponsored studies could not be explained by differences in the methodological risks of bias in the studies, another possible explanation is publication bias [25, 26, 29] or selective outcome reporting.”
BackgroundRooney, A. A., Boyles, A. L., Wolfe, M. S., Bucher, J. R., & Thayer, K. A. (2014) · Environmental Health Perspectives · doi:10.1289/ehp.1307972 · Cited by 434 · see citing works
Emergency medicine animal research: does use of randomization and blinding affect the results?
Bebarta, V., Luyten, D., & Heard, K. (2003) · Academic Emergency Medicine · doi:10.1111/j.1553-2712.2003.tb00056.x · Cited by 244 · see citing works
Empirical Evidence of Bias in the Design of Experimental Stroke Studies
Crossley, N. A., Sena, E. S., Göhler, J., Horn, J., van der Worp, H. B., Bath, P. M., Macleod, M. R., & Dirnagl, U. (2008) · Stroke · doi:10.1161/strokeaha.107.498725 · Cited by 231 · see citing works
Krauth, D., Woodruff, T. J., & Bero, L. (2013) · Environmental Health Perspectives · doi:10.1289/ehp.1206389 · Cited by 160 · see citing works
Self-citationWoodruff, T. J., Sutton, P., & The Navigation Guide Work Group (2011) · Health Affairs · doi:10.1377/hlthaff.2010.1219 · Cited by 134 · see citing works
ter Riet, G., Korevaar, D. A., Leenaars, M., Sterk, P. J., Noorden, C. J. F. V., Bouter, L. M., Lutter, R., Elferink, R. P. J. O., & Hooft, L. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043404 · Cited by 131 · see citing works
Sena, E., Briscoe, C., Howells, D., Donnan, G., Sandercock, P., & Macleod, M. (2010) · Journal of Cerebral Blood Flow and Metabolism · doi:10.1038/jcbfm.2010.116 · Cited by 118 · see citing works
There Is No Denying This: Defusing the Confusion about Atrazine
Hayes, T. B. (2004) · BioScience · doi:10.1641/0006-3568(2004)054[1138:tindtd]2.0.co;2 · Cited by 115 · see citing works
Why the Cochrane Risk of Bias Tool Should Include Funding Source as a Standard Item
Bero, L. A. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.ed000075 · Cited by 96 · see citing works
Self-citationToward More Uniform Conflict Disclosures — The Updated ICMJE Conflict of Interest Reporting Form
Drazen, J. M., de Leeuw, P. W., Laine, C. M., Mulrow, C. D., DeAngelis, C. D., Frizelle, F., Godlee, F., Haug, C. J., Hébert, P. C., James, A., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejme1006030 · Cited by 94 · see citing works
Adverse Effects of Inhaled Corticosteroids in Funded and Nonfunded Studies
Nieto, A., Mazón, Á., Pamies, R., Liñana, J. J., Lanuza, A., Jiménez, F. O., Medina‐Hernandez, A., & Nieto, F. J. (2007) · Archives of Internal Medicine · doi:10.1001/archinte.167.19.2047 · Cited by 60 · see citing works
Krauth, D., Anglemyer, A., Philipps, R., & Bero, L. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001770 · Cited by 36 · see citing works
Self-citationBennett, C. L., Lai, S. Y., Henke, M., Barnato, S. E., Armitage, J. O., & Sartor, O. A. (2010) · Archives of Internal Medicine · doi:10.1001/archinternmed.2010.309 · Cited by 24 · see citing works
Abdel‐Sattar, M., Krauth, D., Anglemyer, A., & Bero, L. (2014) · Evidence-based Preclinical Medicine · doi:10.1002/ebm2.5 · Cited by 14 · see citing works
Self-citationToward more uniform conflict disclosures – the updated ICMJE conflict of interest reporting form
Drazen, J. M., de Leeuw, P. W., Laine, C. M., Mulrow, C. D., DeAngelis, C. D., Frizelle, F., Godlee, F., Haug, C. J., Hébert, P. C., James, A., et al. (2010) · Tidsskrift for Den norske legeforening · doi:10.4045/tidsskr.10.0682 · Cited by 12 · see citing works
Some Salt with Your Statin, Professor?
Macleod, M. R. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001768 · Cited by 5 · see citing works
Toward more uniform conflict disclosures: the updated ICMJE Conflict of Interest Reporting Form
Mulrow, C. D. (2010) · Chinese Medical Journal · doi:10.3760/cma.j.issn.0366-6999.2010.13.001 · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [5]National Academies of Science Review of EPA's Integrated Risk Information System (IRIS) Process 2014 Washington (DC) 25101400
- [6]Higgins J Green S Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 2011 John Wiley and Sons Chichester, UK
Cited by
Sorted by citations
Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0
Percie du Sert, N., Ahluwalia, A., Alam, S., Avey, M. T., Baker, M., Browne, W. J., Clark, A., Cuthill, I. C., Dirnagl, U., Emerson, M., et al. (2020) · PLOS Biology · doi:10.1371/journal.pbio.3000411 · Cited by 2,677 · see citing works
Reporting animal research: Explanation and Elaboration for the ARRIVE guidelines 2019Preprint
du Sert, N. P., Ahluwalia, A., Alam, S., Avey, M. T., Baker, M., Browne, W. J., Clark, A., Cuthill, I. C., Dirnagl, U., Emerson, M., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/703355 · Cited by 557 · see citing works
Edwards, L., McCray, N. L., VanNoy, B., Yau, A. Y., Geller, R. J., Adamkiewicz, G., & Zota, A. R. (2021) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/s41370-021-00392-8 · Cited by 136 · see citing works
Why Having a (Nonfinancial) Interest Is Not a Conflict of Interest
Bero, L. A., & Grundy, Q. (2016) · PLoS Biology · doi:10.1371/journal.pbio.2001221 · Cited by 133 · see citing works
Self-citationPelch, K. E., Reade, A., Kwiatkowski, C. F., Merced‐Nieves, F. M., Cavalier, H. M., Schultz, K., Wolffe, T. A. M., & Varshavsky, J. (2022) · Environment International · doi:10.1016/j.envint.2022.107408 · Cited by 109 · see citing works
Frampton, G. K., Whaley, P., Bennett, M. G., Bilotta, G. S., Dorne, J. L. C. M., Eales, J. F., James, K. L., Kohl, C., Land, M., Livoreil, B., et al. (2022) · Environmental Evidence · doi:10.1186/s13750-022-00264-0 · Cited by 103 · see citing works
Association of Industry Sponsorship With Outcomes of Nutrition Studies
Chartres, N., Fabbri, A., & Bero, L. A. (2016) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2016.6721 · Cited by 92 · see citing works
Self-citationA primer on systematic reviews in toxicology
Hoffmann, S., de Vries, R. B. M., Stephens, M. L., Beck, N. B., Dirven, H. A. A. M., Fowle, J. R., Goodman, J. E., Hartung, T., Kimber, I., Lalu, M. M., et al. (2017) · Archives of Toxicology · doi:10.1007/s00204-017-1980-3 · Cited by 85 · see citing works
Occurrence, transportation, and distribution difference of typical herbicides from estuary to bay
Ouyang, W., Zhang, Y., Gu, X., Tysklind, M., Lin, C., Wang, B., & Xin, M. (2019) · Environment International · doi:10.1016/j.envint.2019.05.052 · Cited by 60 · see citing works
Mebane, C. A., Sumpter, J. P., Fairbrother, A., Augspurger, T. P., Canfield, T. J., Goodfellow, W. L., Guiney, P. D., LeHuray, A. P., Maltby, L. L., Mayfield, D. B., et al. (2019) · Integrated Environmental Assessment and Management · doi:10.1002/ieam.4119 · Cited by 53 · see citing works
Conflicts of Interest in the Assessment of Chemicals, Waste, and Pollution
Schäffer, A., Groh, K. J., Sigmund, G., Azoulay, D., Backhaus, T., Bertram, M. G., Almroth, B. C., Cousins, I. T., Ford, A. T., Grimalt, J. O., et al. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.3c04213 · Cited by 58 · see citing works
Woodruff, T. J., Rayasam, S. D. G., Axelrad, D. A., Koman, P. D., Chartres, N., Bennett, D. H., Birnbaum, L. S., Brown, P., Carignan, C. C., Cooper, C., et al. (2023) · Environmental Health · doi:10.1186/s12940-022-00930-3 · Cited by 56 · see citing works
Resnik, D. B., Konecny, B., & Kissling, G. E. (2016) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0000000000000910 · Cited by 52 · see citing works
Effects of two little-studied environmental pollutants on early development in anurans
Bókony, V., Verebélyi, V., Ujhegyi, N., Mikó, Z., Nemesházi, E., Szederkényi, M., Orf, S., Vitányi, E., & Móricz, Á. M. (2020) · Environmental Pollution · doi:10.1016/j.envpol.2020.114078 · Cited by 40 · see citing works
Ouyang, W., Zhang, Y., Lin, C., Wang, A., Tysklind, M., & Wang, B. (2021) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2021.125530 · Cited by 27 · see citing works
Snyder, M. N., Henderson, W. M., Glinski, D. A., & Purucker, S. T. (2016) · Aquatic Toxicology · doi:10.1016/j.aquatox.2016.11.018 · Cited by 25 · see citing works
Chemical burns: Diphoterine untangled
Alexander, S., Wasiak, J., & Cleland, H. J. (2017) · Burns · doi:10.1016/j.burns.2017.09.017 · Cited by 24 · see citing works
Assessing risk of bias in toxicological studies in the era of artificial intelligence
Härtung, T., Hoffmann, S., & Whaley, P. (2025) · Archives of Toxicology · doi:10.1007/s00204-025-03978-5 · Cited by 26 · see citing works
Industry Payments for Otolaryngology Research: A Four‐Year Analysis of the Open Payments Database
Brauer, P. R., Morse, E., & Mehra, S. (2019) · The Laryngoscope · doi:10.1002/lary.27896 · Cited by 21 · see citing works
Marziani, L. D., Sangiorgio, A., Bensa, A., Boffa, A., Andriolo, L., & Filardo, G. (2023) · Journal of Experimental Orthopaedics · doi:10.1186/s40634-023-00674-0 · Cited by 17 · see citing works
The inadequacies of pre‐market chemical risk assessment's toxicity studies—the implications
Tweedale, A. C. (2016) · Journal of Applied Toxicology · doi:10.1002/jat.3396 · Cited by 17 · see citing works
Fernandes, G., Aparicio, V., Gerónimo, E. D., Prestes, O. D., Zanella, R., Ebling, É. D., Parisi, P. B., Mollmann, V. H. D. S., Reichert, J. M., & dos Santos, D. R. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.166315 · Cited by 15 · see citing works
Quality of reporting inflammatory bowel disease randomised controlled trials: a systematic review
Gordon, M. A., Khudr, J., Sinopoulou, V., Lakunina, S., Rane, A., & Akobeng, A. K. (2024) · BMJ Open Gastroenterology · doi:10.1136/bmjgast-2023-001337 · Cited by 13 · see citing works
Does the atrazine increase animal mortality: Unraveling through a meta-analytic study
Oliveira, W. D. L., Mota, T. F. M., da Silva, A. P., Oliveira, R. D. D. L., Comelli, C. L., Orlandini, N. D., Zimmer, D. F., de Oliveira, E. C., & Ghisi, N. D. C. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.175553 · Cited by 11 · see citing works
Conflicts of interest policies for authors, peer reviewers, and editors of bioethics journals
Master, Z., Werner, K. M., Smith, E. M. R., Resnik, D. B., & Williams–Jones, B. (2018) · AJOB Empirical Bioethics · doi:10.1080/23294515.2018.1510859 · Cited by 12 · see citing works
Chartres, N., Sass, J. B., Gee, D., Bălan, S. A., Birnbaum, L. S., Cogliano, V. J., Cooper, C., Fedinick, K. P., Harrison, R. M., Kolossa‐Gehring, M., et al. (2022) · Environmental Health · doi:10.1186/s12940-022-00926-z · Cited by 12 · see citing works
Nasre‐Nasser, R. G., Severo, M. M. R., Pires, G. N., Hort, M. A., & Arbo, B. D. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-02970-9 · Cited by 11 · see citing works
Schölin, L., Petticrew, M. P., Collin, J., Knipe, D. W., Barry, R. A., Eddleston, M., Gunnell, D., Pearson, M., & van Schalkwyk, M. C. (2025) · Health Promotion International · doi:10.1093/heapro/daaf001 · Cited by 10 · see citing works
Recent Scientific Evidence Regarding Asbestos Use and Health Consequences of Asbestos Exposure
Valenzuela, M. M., Giraldo, M., Gallo-Murcia, S. M., Pineda, J., Santos, L., & Ramos-Bonilla, J. P. (2016) · Current Environmental Health Reports · doi:10.1007/s40572-016-0109-9 · Cited by 9 · see citing works
Rayasam, S. D. G., Aung, M. T., Cooper, C., Kwiatkowski, C. F., Germolec, D. R., Rooney, A. A., Walker, V. R., Forté, C. A., Woodruff, T. J., & Chartres, N. (2022) · Environment International · doi:10.1016/j.envint.2022.107230 · Cited by 7 · see citing works
Bernal-Córdoba, C., Lopes, R. B., Alonso-López, Y., Minjee-Lee, C., Perez-Solano, D., Fausak, E. D., Pereira, R. V. V., & Silva-del-Río, N. (2025) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2025.106543 · Cited by 7 · see citing works
Chartres, N., Aung, M. T., Norris, S. L., Cooper, C., Bero, L. A., Chou, R., Payne-Sturges, D., Wagner, W. E., Reyes, J. W., Askie, L. M., et al. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.4c08063 · Cited by 6 · see citing works
Self-citationSeidler, A., Hunter, K., Chartres, N., & Askie, L. (2019) · PLoS ONE · doi:10.1371/journal.pone.0222117 · Cited by 7 · see citing works
Roberts, W., Jellison, S., Wayant, C., & Vassar, M. B. (2020) · BMJ Evidence-Based Medicine · doi:10.1136/bmjebm-2019-111299 · Cited by 5 · see citing works
Is There Social Consensus Regarding Researcher Conflicts of Interest?
Aytug, Z. G., Rothstein, H. R., Kern, M. C., & Zhu, Z. (2017) · Ethics & Behavior · doi:10.1080/10508422.2017.1402683 · Cited by 4 · see citing works
Risk of bias in effect estimates is real but still largely ignored in environmental research
Konno, K., Gibbons, J., Lewis, R. A., & Pullin, A. S. (2025) · Next research. · doi:10.1016/j.nexres.2025.100565 · Cited by 2 · see citing works
Rodgers, J. B., & Ritskes-Hoitinga, M. J. (2021) · Laboratory animal science and medicine · doi:10.1007/978-3-030-66147-2_10 · Cited by 1 · see citing works
Descriptive Practices and Values in Endocrine Disruption Research
Powers, J. D. (2016) · University of Minnesota Digital Conservancy (University of Minnesota) · Cited by 1 · see citing works
The Conflict-of-Interest Discount in the Marketplace of IdeasPreprint
Barrios, J. M., Lancieri, F., Levy, J., Singh, S. K., Valletti, T., & Zingales, L. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4979205 · Cited by 1 · see citing works
Rattner, B. A., Leopold, A., Mitchelmore, C. L., Suter, G. W., Johnson, M. S., Bejarano, A. C., Kapustka, L. A., Krishnan, N., Muir, D. C. G., Opeolu, B. O., et al. (2025) · Environmental Toxicology and Chemistry · doi:10.1093/etojnl/vgaf294
How the uneven and sequential production of chemical knowledge shapes chemical regulation
Coria, J., Kristiansson, E., & Gustavsson, M. B. (2026) · Environmental Science & Policy · doi:10.1016/j.envsci.2026.104465
- Authors
- Bero, L., Anglemyer, A., Vesterinen, H., & Krauth, D.
- Affiliations
- The University of Sydney (AU)
- California State University, Monterey Bay (US)
- University of California, San Francisco (US)
- Corresponding author
- Bero, L.
- Venue
- Environment International
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 92-93
- Pages
- 597-604
- ISSN
- 0160-4120 (ISSN-L)
- PMC
- PMC4996667
- OpenAlex
- W2212455069
- Cited by
- 41
- References
- 28
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 3 · 2023: 4 · 2022: 5 · 2021: 3 · 2020: 3 · 2019: 5 · 2018: 1 · 2017: 3 · 2016: 7
- FWCI
- 0.67
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Environment International (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institute of Environmental Health Sciences (R21ES021028)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmaceutical industry and healthcare
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Pesticide Exposure and Toxicity
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- atrazine, industry funding, research funding conflicts of interest, risk of bias assessment, reproductive toxicity, developmental toxicity, pesticide exposure, effect size
- MeSH terms
- Animals, Atrazine, Environmental Exposure, Environmental Pollutants, Humans, Industry, Research Support as Topic, Conflict of Interest, Publication Bias, Research Report
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