Multi-variable optimization of thermal energy efficiency retrofitting of buildings using static modelling and genetic algorithms – A case study
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Feature selection preserves the original physical meaning of the features.
“In contrast to feature extraction, feature selection preserves the original physical meaning of the features.”
From Comparative Analysis of Intrusion Detection Systems and Machine Learning Based Model Analysis through Decision Tree (2023) · cites this paper as [168]
Cites
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,169 · see citing works
Applying multi-objective genetic algorithms in green building design optimization
Wang, W., Zmeureanu, R., & Rivard, H. (2005) · Building and Environment · doi:10.1016/j.buildenv.2004.11.017 · Cited by 735 · see citing works
Multi-objective optimization for building retrofit strategies: A model and an application
Asadi, E., da Silva, M. G., Antunes, C. H., & Dias, L. C. (2011) · Energy and Buildings · doi:10.1016/j.enbuild.2011.10.016 · Cited by 483 · see citing works
Optimization of building thermal design and control by multi-criterion genetic algorithm
Wright, J. A., Loosemore, H. A., & Farmani, R. (2002) · Energy and Buildings · doi:10.1016/s0378-7788(02)00071-3 · Cited by 482 · see citing works
Multivariant design and multiple criteria analysis of building refurbishments
Kaklauskas, A., Zavadskas, E. K., & Raslanas, S. (2004) · Energy and Buildings · doi:10.1016/j.enbuild.2004.07.005 · Cited by 323 · see citing works
Wang, S., & Xu, X. (2005) · International Journal of Thermal Sciences · doi:10.1016/j.ijthermalsci.2005.06.009 · Cited by 310 · see citing works
Asadi, E., da Silva, M. G., Antunes, C. H., & Dias, L. C. (2012) · Building and Environment · doi:10.1016/j.buildenv.2012.04.005 · Cited by 305 · see citing works
Fesanghary, M., Asadi, S., & Geem, Z. W. (2011) · Building and Environment · doi:10.1016/j.buildenv.2011.09.030 · Cited by 285 · see citing works
Evins, R., Pointer, P., Vaidyanathan, R., & Burgess, S. C. (2012) · Building and Environment · doi:10.1016/j.buildenv.2012.02.012 · Cited by 76 · see citing works
Automatic generation of energy conservation measures in buildings using genetic algorithms
Siddharth, V., Padullaparthi, V. R., Geetha, T., & Sivasubramaniam, A. (2011) · Energy and Buildings · doi:10.1016/j.enbuild.2011.06.028 · Cited by 72 · see citing works
A new simplified thermal design tool for architects
Ellis, M. W., & Mathews, E. H. (2001) · Building and Environment · doi:10.1016/s0360-1323(00)00052-4 · Cited by 40 · see citing works
Static Simulation: A sufficient modelling technique for retrofit analysis
Murray, S. N., Rocher, B., & O’Sullivan, D. T. J. (2011) · Energy and Buildings · doi:10.1016/j.enbuild.2011.11.034 · Cited by 34 · see citing works
Self-citationA genetic algorithm applied to the validation of building thermal models
Lauret, P., Boyer, H., Rivière, C., & Bastide, A. (2005) · Energy and Buildings · doi:10.1016/j.enbuild.2004.11.006 · Cited by 27 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Survey of intrusion detection systems: Techniques, datasets and challenges
Khraisat, A., Gondal, I., Vamplew, P., & Kamruzzaman, J. (2019) · Cybersecurity · doi:10.1186/s42400-019-0038-7 · Cited by 2,024 · see citing works
Khraisat, A., & Alazab, A. (2021) · Cybersecurity · doi:10.1186/s42400-021-00077-7 · Cited by 540 · see citing works
Delgarm, N., Sajadi, B., Kowsary, F., & Delgarm, S. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.02.141 · Cited by 501 · see citing works
A review on optimization methods applied in energy-efficient building geometry and envelope design
Kheiri, F. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.04.080 · Cited by 407 · see citing works
Delgado, J. M. D., & Oyedele, L. O. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101332 · Cited by 272 · see citing works
A review on building energy efficient design optimization rom the perspective of architects
Shi, X., Tian, Z., Chen, W., Si, B., & Jin, X. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.07.050 · Cited by 270 · see citing works
Azam, Z., Islam, M. M., & Huda, M. N. (2023) · IEEE Access · doi:10.1109/access.2023.3296444 · Cited by 265 · see citing works
Tian, Z., Zhang, X., Jin, X., Zhou, X., Si, B., & Shi, X. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.11.022 · Cited by 262 · see citing works
Costa-Carrapiço, I., Raslan, R., & González, J. N. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.109690 · Cited by 255 · see citing works
Energy performance optimization of existing buildings: A literature review
Hashempour, N., Taherkhani, R., & Mahdikhani, M. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2019.101967 · Cited by 227 · see citing works
Delgarm, N., Sajadi, B., & Delgarm, S. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2016.09.003 · Cited by 204 · see citing works
An optimization framework for building energy retrofits decision-making
Jafari, A., & Valentin, V. (2017) · Building and Environment · doi:10.1016/j.buildenv.2017.01.020 · Cited by 200 · see citing works
Hosamo, H., Tingstveit, M. S., Nielsen, H. K., Svennevig, P. R., & Svidt, K. (2022) · Energy and Buildings · doi:10.1016/j.enbuild.2022.112479 · Cited by 196 · see citing works
Roberti, F., Oberegger, U. F., Lucchi, E., & Troi, A. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2016.12.028 · Cited by 163 · see citing works
Zhuang, D., Zhang, X., Lu, Y., Wang, C., Jin, X., Zhou, X., & Shi, X. (2021) · Automation in Construction · doi:10.1016/j.autcon.2021.103712 · Cited by 157 · see citing works
Naderi, E., Sajadi, B., Akhavan-Behabadi, M. A., & Naderi, E. (2019) · Building and Environment · doi:10.1016/j.buildenv.2019.106570 · Cited by 114 · see citing works
Alexakis, K., Benekis, V., Kokkinakos, P., & Askounis, D. (2024) · Energy and Buildings · doi:10.1016/j.enbuild.2024.115216 · Cited by 111 · see citing works
Shaamala, A., Yiğitcanlar, T., Nili, A., & Nyandega, D. (2024) · Sustainable Cities and Society · doi:10.1016/j.scs.2024.105182 · Cited by 106 · see citing works
Kim, J., Hong, T., Jeong, J., Koo, C., & Jeong, K. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.02.032 · Cited by 100 · see citing works
An AI-driven model for predicting and optimizing energy-efficient building envelopes
Long, L. D. (2023) · Alexandria Engineering Journal · doi:10.1016/j.aej.2023.08.041 · Cited by 96 · see citing works
Tavakolan, M., Mostafazadeh, F., Jalilzadeh, S., Safari, A., & Mirzaei, K. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.103485 · Cited by 93 · see citing works
Carreras, J., Boer, D. T., Guillén‐Gosálbez, G., Cabeza, L. F., Medrano, M., & Jiménez, L. (2014) · Energy and Buildings · doi:10.1016/j.enbuild.2014.12.007 · Cited by 83 · see citing works
Chen, K., Zhu, X., Anduv, B., Jin, X., & Du, Z. (2022) · Energy · doi:10.1016/j.energy.2022.124040 · Cited by 81 · see citing works
Intelligent analysis of energy consumption in school buildings
Raatikainen, M., Skön, J.-P., Leiviskä, K., & Kolehmainen, M. (2016) · Applied Energy · doi:10.1016/j.apenergy.2015.12.072 · Cited by 71 · see citing works
A simulation-based optimization method for designing energy efficient buildings
Yiğit, S., & Özorhon, B. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2018.08.045 · Cited by 62 · see citing works
Chen, Z., Cui, Y., Zheng, H., & Ning, Q. (2024) · Journal of Building Engineering · doi:10.1016/j.jobe.2024.108687 · Cited by 57 · see citing works
Investigating cost-optimal energy renovation of a multifamily building in Sweden
Fleur, L. L., Rohdin, P., & Moshfegh, B. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.109438 · Cited by 57 · see citing works
Nik, V. M., Mata, É., & Kalagasidis, A. S. (2014) · Energy and Buildings · doi:10.1016/j.enbuild.2014.11.015 · Cited by 50 · see citing works
Mousa, O. B., Taylor, R. A., & Shirazi, A. (2019) · Energy Conversion and Management · doi:10.1016/j.enconman.2019.05.012 · Cited by 46 · see citing works
Multiobjective Optimization Model for Maximizing Sustainability of Existing Buildings
Abdallah, M., & El‐Rayes, K. (2016) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000425 · Cited by 43 · see citing works
Lu, S., Li, J., & Lin, B. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.109707 · Cited by 42 · see citing works
Data Science Applications in Circular Economy: Trends, Status, and Future
Zhao, B., Yu, Z., Wang, H., Shuai, C., Qu, S., & Xu, M. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.3c08331 · Cited by 39 · see citing works
An optimal model for a building retrofit with LEED standard as reference protocol
Michael, M., Zhang, L., & Xia, X. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.01.006 · Cited by 39 · see citing works
Kerdan, I. G., Raslan, R., Ruyssevelt, P. A., & Gálvez, D. M. (2017) · Energy · doi:10.1016/j.energy.2017.03.142 · Cited by 38 · see citing works
Multi-objective optimisation model: A housing block retrofit in Seville
Camporeale, P. E., Mercader-Moyano, P., & Czajkowski, J. D. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.08.023 · Cited by 36 · see citing works
Milić, V., Ekelöw, K., & Moshfegh, B. (2017) · Building and Environment · doi:10.1016/j.buildenv.2017.11.012 · Cited by 35 · see citing works
Fleur, L. L., Rohdin, P., & Moshfegh, B. (2019) · Energies · doi:10.3390/en12112218 · Cited by 34 · see citing works
Zhang, L., Jiang, S., Shen, X., Gupta, B. B., & Tian, Z. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2110.03445 · Cited by 32 · see citing works
Chiang, Y. H., Li, V. J., Lu, Z., Wong, F., & Lam, P. T. I. (2015) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0001065 · Cited by 31 · see citing works
Nasouri, M., & Delgarm, N. (2023) · Journal of Thermal Science · doi:10.1007/s11630-023-1933-5 · Cited by 29 · see citing works
A novel botnet attack detection for IoT networks based on communication graphs
Muñoz, D. I. L., & Valiente, A. D. C. (2023) · Cybersecurity · doi:10.1186/s42400-023-00169-6 · Cited by 28 · see citing works
Abdallah, M., & El‐Rayes, K. (2014) · Building and Environment · doi:10.1016/j.buildenv.2014.10.010 · Cited by 28 · see citing works
New step-by-step retrofitting model for delivering optimum timing
Maia, I. E. N., Kranzl, L., & Müller, A. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.116714 · Cited by 24 · see citing works
Simulation-based design optimization of heat pump systems considering building variations
Vering, C., Tanrikulu, A., Mehrfeld, P., & Müller, D. (2021) · Energy and Buildings · doi:10.1016/j.enbuild.2021.111310 · Cited by 23 · see citing works
Decision-Making Approach to Urban Energy Retrofit—A Comprehensive Review
Shu, L., & Zhao, D. F. (2023) · Buildings · doi:10.3390/buildings13061425 · Cited by 23 · see citing works
Painting with light: An interactive evolutionary system for daylighting design
Caldas, L., & Santos, L. (2016) · Building and Environment · doi:10.1016/j.buildenv.2016.07.023 · Cited by 22 · see citing works
Costa-Carrapiço, I., Croxford, B., Raslan, R., & González, J. N. (2022) · Journal of Building Engineering · doi:10.1016/j.jobe.2022.104717 · Cited by 22 · see citing works
Kheiri, F., Haberl, J. S., & Baltazar, J.-C. (2023) · Energy · doi:10.1016/j.energy.2023.128447 · Cited by 21 · see citing works
Mo, W., Yao, X., Liu, Z., Chen, S., Li, Q., Jiang, J., Zhang, G., & Dewancker, B. J. (2024) · Building and Environment · doi:10.1016/j.buildenv.2024.112133 · Cited by 21 · see citing works
Abouaïssa, H., Hasan, O. A., Join, C., Fliess, M., & Defer, D. (2017) · International Conference on System Theory, Control and Computing (ICSTCC) · doi:10.1109/icstcc.2017.8107126 · Cited by 21 · see citing works
Pattern analysis of genetics and genomics: a survey of the state-of-art
Chaki, J., & Dey, N. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-7181-8 · Cited by 21 · see citing works
Zhang, L., Wang, C., Chen, Y., & Zhang, L. (2021) · Frontiers in Energy Research · doi:10.3389/fenrg.2021.744974 · Cited by 20 · see citing works
Multi-objective optimization case study with active and passive design in building engineering
Lee, J. (2018) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-018-2080-6 · Cited by 20 · see citing works
A Comprehensive Survey on Various Machine Learning Methods used for Intrusion Detection System
Gupta, A. R. B., & Agrawal, J. (2020) · IEEE International Conference on Communication Systems and Network Technologies (CSNT) · doi:10.1109/csnt48778.2020.9115764 · Cited by 20 · see citing works
Multi-objective optimization for existing buildings retrofitting under government subsidization
Penna, P., Prada, A., Cappelletti, F., & Gasparella, A. (2015) · Science and Technology for the Built Environment · doi:10.1080/23744731.2015.1028867 · Cited by 20 · see citing works
Jeon, B.-K., Kim, E.-J., Shin, Y., & Lee, K. (2018) · Sustainability · doi:10.3390/su11010147 · Cited by 19 · see citing works
Global solar technology optimization for factory rooftop emissions mitigation
Mousa, O. B., & Taylor, R. A. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab702a · Cited by 18 · see citing works
Prediction of Building Electricity Consumption Based on Joinpoint−Multiple Linear Regression
Yang, H., Ran, M., & Zhuang, C. (2022) · Energies · doi:10.3390/en15228543 · Cited by 17 · see citing works
Adamczyk, J., & Dylewski, R. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.06.123 · Cited by 16 · see citing works
Review of Methods for Buildings Energy Performance Modelling
Krstić, H., & Teni, M. (2017) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/245/4/042049 · Cited by 16 · see citing works
Li, K., Xue, W., & Liu, G. (2017) · Energies · doi:10.3390/en10020231 · Cited by 14 · see citing works
Roth, J., Brown, H. A., & Jain, R. K. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115435 · Cited by 14 · see citing works
Tapia-Calderón, A., Boer, D. T., Salinas-Lira, C., & Vasco, D. A. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.106665 · Cited by 13 · see citing works
Waibel, C., Mavromatidis, G., Evins, R., & Carmeliet, J. (2019) · Journal of Building Performance Simulation · doi:10.1080/19401493.2019.1671897 · Cited by 13 · see citing works
Hai, T., El-Shafay, A. S., Alizadeh, A., Kulshreshtha, K., Almojil, S. F., Almohana, A. I., & Alali, A. F. (2023) · Journal of Building Engineering · doi:10.1016/j.jobe.2023.106274 · Cited by 13 · see citing works
Cipriano, X., Vellido, A., Cipriano, J., Martí-Herrero, J., & Danov, S. (2016) · Energy Efficiency · doi:10.1007/s12053-016-9460-9 · Cited by 12 · see citing works
Lee, D. Y., Seo, B., Yoon, Y., Hong, S. H., Choi, J. M., & Lee, K. H. (2018) · Frontiers in Energy · doi:10.1007/s11708-018-0596-5 · Cited by 11 · see citing works
Martín-Consuegra, F., Ludueña, C. A., de Frutos, F., Vázquez, B. F., Alonso, C., & Oteiza, I. (2024) · Sustainability · doi:10.3390/su16083214 · Cited by 8 · see citing works
From Optimization to Clustering
Vora, M., & Mirnalinee, T. T. (2015) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-4666-7258-1.ch019 · Cited by 6 · see citing works
Simulating Performance Risk for Lighting Retrofit Decisions
Hu, J., Shen, E., & Gu, Y. Q. (2015) · Buildings · doi:10.3390/buildings5020650 · Cited by 6 · see citing works
Maia, I. E. N., & Kranzl, L. (2019) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/323/1/012175 · Cited by 5 · see citing works
Li, X., Liu, S., & Sun, Y. (2022) · Buildings · doi:10.3390/buildings12010052 · Cited by 5 · see citing works
Wang, H., Jin, R., Xu, P., & Gu, J. (2024) · Buildings · doi:10.3390/buildings14113405 · Cited by 5 · see citing works
gholami, H., Rezaei, F., & Ahmadi, H. M. (2025) · International Journal of Architectural Engineering Technology · doi:10.15377/2409-9821.2025.12.8 · Cited by 4 · see citing works
Enhancing Cybersecurity through Bayesian Node Profiling and Attack Classification
Desai, P. (2024) · International Journal of Wireless and Microwave Technologies · doi:10.5815/ijwmt.2024.01.04 · Cited by 4 · see citing works
Tanriverdi, B., & Gedík, G. Z. (2022) · Civil Engineering and Architecture · doi:10.13189/cea.2023.110118 · Cited by 4 · see citing works
Building energy consumption flatness-based control using algebraic on-line estimation
Hasan, O. A., Abouaïssa, H., Shahrour, I., & Defer, D. (2016) · Energy Efficiency · doi:10.1007/s12053-016-9479-y · Cited by 3 · see citing works
Probabilistic Energy Efficiency Analysis in Buildings Using Statistical Methods
Bordbari, M. J., Rastegar, M., & Seifi, A. R. (2019) · Iranian Journal of Science and Technology Transactions of Electrical Engineering · doi:10.1007/s40998-019-00288-2 · Cited by 3 · see citing works
Zahedi, A., Ghodrati, S., Ahmadi, M., & Jaafarzadeh, N. (2018) · Environmental Health Engineering and Management · doi:10.15171/ehem.2018.02 · Cited by 3 · see citing works
Study of Various Intrusion Detection Systems: A Survey
Chauhan, M., & Agarwal, M. (2021) · Wiley eBooks · doi:10.1002/9781119752134.ch25 · Cited by 3 · see citing works
Modelación hidráulica y calibración de redes de distribución de agua potable
Universidad Técnica Particular de Loja, S. C. A., Rodríguez-Procel, W., Benavides-Muñoz, H. M., & Recursos Hídricos, D. D. G. (2021) · Tecnología y Ciencias del Agua · doi:10.24850/j-tyca-2021-04-01 · Cited by 2 · see citing works
Optimizing the thermal energy consumption in heating systems of residential buildings: A case study
Alayi, R., Ebazadeh, Y., Ma’arif, A., & Suwarno, I. (2023) · AIP conference proceedings · doi:10.1063/5.0185758 · Cited by 2 · see citing works
El uso de algoritmos genéticos aplicados al diseño bioambiental paramétrico
Camporeale, P. E. (2017) · doi:10.35537/10915/63583 · Cited by 2 · see citing works
From Optimization to Clustering
Vora, M., & Mirnalinee, T. T. (2016) · IGI Global eBooks · doi:10.4018/978-1-5225-0788-8.ch058 · Cited by 1 · see citing works
Genetic Algorithm for a Combinatorial Optimization for Energy Retrofit of Buildings
Streblow, R., Müller, D., Armborst, C., & Ansorge, K. (2016) · RWTH Publications (RWTH Aachen) · Cited by 1 · see citing works
OPTIMAL DESIGN OF HOUSING ATTICS WITH INTEGRATED SOLAR COLLECTORS
Álvarado, R. G., Campos, P. G., & Wegertseder, P. (2017) · Journal of Green Building · doi:10.3992/1943-4618.12.4.1 · Cited by 1 · see citing works
DECISION-MAKING FRAMEWORK FOR THE SELECTION OF SUSTAINABLE ALTERNATIVES FOR ENERGY-RETROFITS
Jafari, A. (2018) · UNM’s Digital Repository (University of New Mexico) · Cited by 1 · see citing works
Yiğit, S., & Özorhon, B. (2021) · Journal of Construction Engineering Management & Innovation · doi:10.31462/jcemi.2021.04210228 · Cited by 1 · see citing works
Ocena efektów ekologicznych termoizolacji budynków
Dylewski, R., & Adamczyk, J. (2016)
Melgar, S. G., Andújar, J. M., & Bohórquez, M. A. (2017) · Springer eBooks · doi:10.1007/978-3-319-51442-0_14
El-Beheiry, D., Sayad, Z. E., & Farghaly, T. (2023) · Springer eBooks · doi:10.1007/978-981-99-6290-7_10
Numerical study of a residential building energy efficiency improvement: A case study in T unisia
Nouira, M., & Hamida, M. B. B. (2026) · Environmental Progress & Sustainable Energy · doi:10.1002/ep.70358
Emekçi, Ş., & Tanyer, A. M. (2026) · Journal of Green Building · doi:10.3992/jgb.21.1.69
- Authors
- Murray, S. N., Walsh, B. P., Kelliher, D., & O'Sullivan, D. T. J.
- Affiliations
- University College Cork (IE)
- Corresponding author
- Murray, Sean N.
- Venue
- Building and Environment
- Publisher
- Elsevier BV
- Published
- 2014-05
- Volume
- 75
- Pages
- 98-107
- ISSN
- 0360-1323 (ISSN-L)
- OpenAlex
- W1969081718
- Cited by
- 93
- References
- 13
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 9 · 2023: 10 · 2022: 6 · 2021: 11 · 2020: 3 · 2019: 12 · 2018: 7 · 2017: 13 · 2016: 13 · 2015: 4 · 2014: 3
- FWCI
- 16.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Building and Environment (publishedVersion)
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Engineering › Building and Construction › Building energy efficiency and sustainability
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Keywords
- building retrofit, thermal energy efficiency, genetic algorithm, simulation-based optimization, multivariate optimization, building energy performance
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
