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Relevant bibliographies by topics / Data incompleteness

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Academic literature on the topic 'Data incompleteness'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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Journal articles on the topic "Data incompleteness"

1

Acharya, Nanyan V., Lynda V. Wilton, and Saad A. Shakir. "Incompleteness of Lamotrigine Data." Drug Safety 24, no. 2 (2001): 155–56. http://dx.doi.org/10.2165/00002018-200124020-00005.

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Messenheimer, John A., Marcus E. Risner, and Luigi Giorgi. "Incompleteness of Lamotrigine Data." Drug Safety 24, no. 2 (2001): 155–56. http://dx.doi.org/10.2165/00002018-200124020-00006.

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Muris, Chris. "Efficient GMM Estimation with Incomplete Data." Review of Economics and Statistics 102, no. 3 (2020): 518–30. http://dx.doi.org/10.1162/rest_a_00836.

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In the standard missing data model, data are either complete or completely missing. However, applied researchers face situations with an arbitrary number of strata of incompleteness. Examples include unbalanced panels and instrumental variables settings where some observations are missing some instruments. I propose a model for settings where observations may be incomplete, with an arbitrary number of strata of incompleteness. I derive a set of moment conditions that generalizes those in Graham's ( 2011 ) standard missing data setup. I derive the associated efficiency bound and propose efficie

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Yi, Hui, Zehui Mao, Bin Jiang, Cuimei Bo, Yufang Liu, and Hui Luo. "Fault Diagnosis in Condition of Sample Type Incompleteness Using Support Vector Data Description." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/432651.

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Faulty samples are much harder to acquire than normal samples, especially in complicated systems. This leads to incompleteness for training sample types and furthermore a decrease of diagnostic accuracy. In this paper, the relationship between sample-type incompleteness and the classifier-based diagnostic accuracy is discussed first. Then, a support vector data description-based approach, which has taken the effects of sample-type incompleteness into consideration, is proposed to refine the construction of fault regions and increase the diagnostic accuracy for the condition of incomplete sampl

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Trovati, Marcello, and Olayinka Johnny. "Big data inconsistencies and incompleteness: a literature review." International Journal of Grid and Utility Computing 11, no. 5 (2020): 705. http://dx.doi.org/10.1504/ijguc.2020.10030948.

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Johnny, Olayinka, and Marcello Trovati. "Big data inconsistencies and incompleteness: a literature review." International Journal of Grid and Utility Computing 11, no. 5 (2020): 705. http://dx.doi.org/10.1504/ijguc.2020.110057.

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Flores, Jorge R. "Taxon incompleteness and discrete time bins affect character change rates in simulated data." Biology Letters 16, no. 11 (2020): 20200418. http://dx.doi.org/10.1098/rsbl.2020.0418.

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Estimating how fast or slow morphology evolves through time (phenotypic change rate, PR) has become common in macroevolutionary studies and has been important for clarifying key evolutionary events. However, the inclusion of incompletely scored taxa (e.g. fossils) and variable lengths of discrete arbitrary time bins could affect PR estimates and potentially mask real PR patterns. Here, the impact of taxon incompleteness (unscored data) on PR estimates is assessed in simulated data. Three different time bin series were likewise evaluated: bins evenly spanning the tree length (i), a shorter midd

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Sanz, Joaquin, Emanuele Cozzo, Javier Borge-Holthoefer, and Yamir Moreno. "Topological effects of data incompleteness of gene regulatory networks." BMC Systems Biology 6, no. 1 (2012): 110. http://dx.doi.org/10.1186/1752-0509-6-110.

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Marino-Buslje, Cristina, Alexander Miguel Monzon, Diego Javier Zea, María Silvina Fornasari, and Gustavo Parisi. "On the dynamical incompleteness of the Protein Data Bank." Briefings in Bioinformatics 20, no. 1 (2017): 356–59. http://dx.doi.org/10.1093/bib/bbx084.

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Qi, Qianya, Li Yan, and Lili Tian. "Testing equality of means in partially paired data with incompleteness in single response." Statistical Methods in Medical Research 28, no. 5 (2018): 1508–22. http://dx.doi.org/10.1177/0962280218765007.

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In testing differentially expressed genes between tumor and healthy tissues, data are usually collected in paired form. However, incomplete paired data often occur. While extensive statistical researches exist for paired data with incompleteness in both arms, hardly any recent work can be found on paired data with incompleteness in single arm. This paper aims to fill this gap by proposing some new methods, namely, P-value pooling methods and a nonparametric combination test. Simulation studies are conducted to investigate the performance of the proposed methods in terms of type I error and pow

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Dissertations / Theses on the topic "Data incompleteness"

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Lembo, Domenico. "Dealing with Inconsistency and Incompleteness in Data Integration." Doctoral thesis, La Sapienza, 2004. http://hdl.handle.net/11573/917064.

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Karlsson, Peter S. "Issues of incompleteness, outliers and asymptotics in high dimensional data." Doctoral thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Economics, Finance and Statistics, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-14934.

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This thesis consists of four individual essays and an introduction chapter. The essays are in the field of multivariate statistical analysis of High dimensional data. The first essay presents the issue of estimating the inverse covariance matrix alone and when it is used within the Mahalanobis distance in High-dimensional data. Three types of ridge-shrinkage estimators of the inverse covariance matrix are suggested and evaluated through Monte Carlo simulations. The second essay deals with incomplete observations in empirical applications of the Arbitrage Pricing Theory model and the interest i

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Tang, Lie Ming. "Making Sense of Long-Term Physical Activity Tracker Data: The challenge of Incompleteness." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/20996.

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Millions of people have already collected weeks, months and even years of data about their own health and physical activity levels. The potential is enormous for use in personal applications as well as for public health analysis of large populations at low cost. However, the reality is many people fail to wear their tracker and record data all day every day especially over the long-term. The resulting incompleteness in data poses an important challenge for interpreting long-term tracker data, in terms of both making sense of it and in dealing with the uncertainty of inferences based on it. Su

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Ng, Yui-kin, and 吳銳堅. "Computers, Gödel's incompleteness theorems and mathematics education: a study of the implications of artificialintelligence for secondary school mathematics." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B31957419.

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Schintler, Laurie A., and Manfred M. Fischer. "The Analysis of Big Data on Cites and Regions - Some Computational and Statistical Challenges." WU Vienna University of Economics and Business, 2018. http://epub.wu.ac.at/6637/1/2018%2D10%2D28_Big_Data_on_cities_and_regions_untrack_changes.pdf.

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Big Data on cities and regions bring new opportunities and challenges to data analysts and city planners. On the one side, they hold great promise to combine increasingly detailed data for each citizen with critical infrastructures to plan, govern and manage cities and regions, improve their sustainability, optimize processes and maximize the provision of public and private services. On the other side, the massive sample size and high-dimensionality of Big Data and their geo-temporal character introduce unique computational and statistical challenges. This chapter provides overviews on the sal

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Thiele, Sven. "Modeling biological systems with Answer Set Programming." Phd thesis, Universität Potsdam, 2011. http://opus.kobv.de/ubp/volltexte/2012/5938/.

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Biology has made great progress in identifying and measuring the building blocks of life. The availability of high-throughput methods in molecular biology has dramatically accelerated the growth of biological knowledge for various organisms. The advancements in genomic, proteomic and metabolomic technologies allow for constructing complex models of biological systems. An increasing number of biological repositories is available on the web, incorporating thousands of biochemical reactions and genetic regulations. Systems Biology is a recent research trend in life science, which fosters a sy

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Mecharnia, Thamer. "Approches sémantiques pour la prédiction de présence d'amiante dans les bâtiments : une approche probabiliste et une approche à base de règles." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG036.

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De nos jours, les Graphes de Connaissances sont utilisés pour représenter toutes sortes de données et ils constituent des ressources évolutives, interopérables et exploitables par des outils d’aide à la décision. Le Centre Scientifique et Technique du Bâtiment (CSTB) a été sollicité pour développer un outil d'aide à l'identification des matériaux contenant de l'amiante dans les bâtiments. Dans ce contexte, nous avons créé et peuplé l'ontologie ASBESTOS qui permet la représentation des données des bâtiments et les résultats des diagnostics réalisés en vue de détecter la présence d’amiante dans

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Rodriguez-Gianolli, Patricia. "Embracing Incompleteness in Schema Mappings." Thesis, 2013. http://hdl.handle.net/1807/35943.

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Various forms of information integration have become ubiquitous in current Business Intelligence (BI) technologies. In many cases, the semantic relationship between heterogeneous data sources is specified using high-level declarative rules, called schema mappings. For decades, Skolem functions have been regarded as an important tool in schema mappings as they permit a precise representation of incomplete information. The powerful mapping language of second-order tuple generating dependencies (SO tgds) permits arbitrary Skolem functions and has been proven to be the right class for modeling ma

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Books on the topic "Data incompleteness"

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Information, randomness & incompleteness: Papers on algorithmic information theory. World Scientific, 1987.

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Information, randomness & incompleteness: Papers on algorithmic information theory. 2nd ed. World Scientific, 1990.

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Ślusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.

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The quality of data collected in official spatial databases is crucial in making strategic decisions as well as in the implementation of planning and design works. Awareness of the level of the quality of these data is also important for individual users of official spatial data. The author presents methods and models of description and evaluation of the quality of spatial data collected in public registers. Data describing the space in the highest degree of detail, which are collected in three databases: land and buildings registry (EGiB), geodetic registry of the land infrastructure network

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Book chapters on the topic "Data incompleteness"

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Jagadish⋆, Hosagrahar Visvesvaraya. "Incompleteness in Data Mining." In Advances in Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45357-1_1.

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Thanisch, Peter, Tapio Niemi, Jyrki Nummenmaa, Zheying Zhang, Marko Niinimäki, and Pertti Saariluoma. "Incompleteness in Conceptual Data Modelling." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41947-8_15.

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Li, Qiang, Jianhua Li, Xiang Li, and Shenghong Li. "Evaluation Incompleteness of Knowledge in Data Mining." In Content Computing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30483-8_33.

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McArdle, John J., and John R. Nesselroade. "Contemporary data analyses based on planned incompleteness." In Longitudinal data analysis using structural equation models. American Psychological Association, 2014. http://dx.doi.org/10.1037/14440-032.

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Peroncini, Roberto, and Rita Pizzi. "Values for Some: How Does Criminal Network Undermine the Political System? A Data Mining Perspective." In Systemics of Incompleteness and Quasi-Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15277-2_21.

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Grzymala-Busse, Jerzy W., and Shantan R. Marepally. "Sensitivity and Specificity for Mining Data with Increased Incompleteness." In Artificial Intelligence and Soft Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13208-7_45.

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Parry, Gareth W. "Incompleteness in Data Bases: Impact on Parameter Estimation Uncertainty." In Uncertainty in Risk Assessment, Risk Management, and Decision Making. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-5317-1_40.

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Grzymala-Busse, Jerzy W., and Witold J. Grzymala-Busse. "Increasing Data Set Incompleteness May Improve Rule Set Quality." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05201-9_16.

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Xu, Xian, Xiao Xu, Xiang Li, and Guotong Xie. "GRMI: Graph Representation Learning of Multimodal Data with Incompleteness." In Database Systems for Advanced Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30675-4_19.

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Grzymala-Busse, Jerzy W., and Witold J. Grzymala-Busse. "Increasing Incompleteness of Data Sets—A Strategy for Inducing Better Rule Sets." In Advances in Machine Learning I. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-05177-7_17.

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Conference papers on the topic "Data incompleteness"

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AlShehri, Yousef, and Lakshmish Ramaswamy. "An Energy-Efficient Ensemble Approach for Mitigating Data Incompleteness in IoT Applications." In 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT). IEEE, 2024. http://dx.doi.org/10.1109/dcoss-iot61029.2024.00040.

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Koo, Heejoon. "Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillation." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10890473.

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Hamel, Oussama, and Messaouda Fareh. "A Deep Learning-Based Framework for Handling Incompleteness and Detecting Errors in Linked Data Applied to the UniProt Dataset." In 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2024. http://dx.doi.org/10.1109/idap64064.2024.10710995.

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Kaewpradap, Ussama, Marc Singer, Srdjan Nesic, and Suchada Punpruk. "Comparison of Model Predictions and Field Data – the Case of Top of the Line Corrosion." In CORROSION 2015. NACE International, 2015. https://doi.org/10.5006/c2015-05809.

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Abstract Top of the Line Corrosion (TLC) is a specific type of corrosion that happens due to internal water condensation in wet gas lines. It is a serious concern for the oil and gas industry and has been the cause of numerous pipeline failures. Many research projects have been executed with the aim to better understand the mechanisms and to develop accurate predictive models of TLC. Irrespective of their complexity, most of the models are based on laboratory experimental data. This makes it important, even in the case of most advanced models to compare and validate the model’s predictions by

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Ton Alias, Mohd Aswadi, Nurul Asni Mohamed, M. Iskandar Bakeri, et al. "Application of Artificial Intelligence in Corrosion Management." In CONFERENCE 2024. AMPP, 2024. https://doi.org/10.5006/c2024-20711.

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Abstract Corrosion management system encompassing the various stages of an asset life starting from design, construction, through to operation and decommissioning remains the key focus in ensuring integrity and safe operation of the asset. Corrosion study is conducted during the initial design phase, followed by multiple reviews during the operational stage as part of the overall corrosion management process. These studies aim to identify all damage mechanisms that can be present, including both non-age-related and age-related mechanisms. Currently in the oil and gas industry, corrosion rate p

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Eliassi-rad, Tina, Rajmonda Caceres, and Timothy LaRock. "Incompleteness in Networks." In KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2019. http://dx.doi.org/10.1145/3292500.3332276.

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Scheglmann, Stefan, Gerd Groener, Steffen Staab, and Ralf Lämmel. "Incompleteness-aware programming with RDF data." In the 2013 workshop. ACM Press, 2013. http://dx.doi.org/10.1145/2429376.2429380.

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Christodoulakis, Christina, Christos Faloutsos, and Renee J. Miller. "VoidWiz: Resolving incompleteness using network effects." In 2014 IEEE 30th International Conference on Data Engineering (ICDE). IEEE, 2014. http://dx.doi.org/10.1109/icde.2014.6816748.

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Ma, Z. M., W. J. Zhang, W. Y. Ma, and G. Q. Chen. "Extending Express-G to Model Fuzzy Information in Product Data Model." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/cie-14620.

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Abstract Information with uncertainty and imprecision is inherently presented in engineering design and manufacturing. The nature of uncertainty and imprecision is incompleteness. The incompleteness is a typical feature in earlier product design phases. Product design is essentially viewed as a process of reducing the incompleteness in the description of conceptual design. Some methods and strategies for the preliminary engineering design, calculation, and modeling in relational database systems have been proposed to process imprecise and uncertain information. Product data model, being a core

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Lata, Kanchan, and Shampa Chakraverty. "Handling data incompleteness using Rough Sets on multiple decision systems." In 2014 International Conference on Data Mining and Intelligent Computing (ICDMIC). IEEE, 2014. http://dx.doi.org/10.1109/icdmic.2014.6954243.

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Reports on the topic "Data incompleteness"

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Bru Muñoz, María. The forgotten lender: the role of multilateral lenders in sovereign debt and default. Banco de España, 2023. http://dx.doi.org/10.53479/25026.

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The role of multilateral lenders in sovereign default has been traditionally overlooked by the literature. However, these creditors represent a significant share of lending to emerging markets and feature very distinct characteristics, such as lower interest rates and seniority. By including these creditors in a traditional DSGE model of sovereign default, I reproduce the high debt levels found in the data while maintaining default probabilities within realistic values. Additionally, I am able to analyze the role of multilateral debt in emerging economies. Multilateral loans complement private

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Simakov, S. Evaluation of the Prompt Gamma-ray Spectrum from Spontaneous Fission of 252Cf. IAEA Nuclear Data Section, 2024. http://dx.doi.org/10.61092/iaea.bz1p-e3yc.

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The energy spectra, multiplicities and average energies of the prompt, total and delayed γ-rays accompanying the spontaneous fission of 252Cf were collected from the literature and dedicated databases. They were carefully analysed for consistency with a view to producing reference data for usage in various applications. This could be accomplished for the prompt fission gamma ray spectrum up to 20 MeV since dozens of measurements exist and reasonably agree. The prompt fission gamma ray spectrum (PFGS) was non-model evaluated by fitting the preselected experimental data with the help of the gene

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