Academic literature on the topic 'Knowledge generation'

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Journal articles on the topic "Knowledge generation"

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Popov, Evgeny, Maxim Vlasov, and Hanusch Horst. "Resource Potential of Knowledge Generation." MONTENEGRIN JOURNAL OF ECONOMICS 12, no. 3 (2016): 101–14. http://dx.doi.org/10.14254/1800-5845.2016/12-3/7.

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van der Walt, Mariana. "Knowledge management and scientific knowledge generation." Knowledge Management Research & Practice 4, no. 4 (2006): 319–30. http://dx.doi.org/10.1057/palgrave.kmrp.8500115.

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Wang, Jian, Junhao Liu, Wei Bi, et al. "Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 9169–76. http://dx.doi.org/10.1609/aaai.v34i05.6453.

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Neural network models usually suffer from the challenge of incorporating commonsense knowledge into the open-domain dialogue systems. In this paper, we propose a novel knowledge-aware dialogue generation model (called TransDG), which transfers question representation and knowledge matching abilities from knowledge base question answering (KBQA) task to facilitate the utterance understanding and factual knowledge selection for dialogue generation. In addition, we propose a response guiding attention and a multi-step decoding strategy to steer our model to focus on relevant features for response
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Panikarova, S. V., and M. V. Vlasov. "Knowledge Generation Risk Management." Economic Analysis: Theory and Practice 16, no. 9 (2017): 1696–707. http://dx.doi.org/10.24891/ea.16.9.1696.

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Davies, John, Alistair Duke, Nick Kings, et al. "Next generation knowledge access." Journal of Knowledge Management 9, no. 5 (2005): 64–84. http://dx.doi.org/10.1108/13673270510622465.

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Dettmar, Harvey, Xiaohui Liu, Roger Johnson, and Alan Payne. "Knowledge-based data generation." Knowledge-Based Systems 11, no. 3-4 (1998): 167–77. http://dx.doi.org/10.1016/s0950-7051(98)00031-8.

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Schofield, M. J. "Knowledge-based test generation." IEE Proceedings G (Electronic Circuits and Systems) 132, no. 3 (1985): 108. http://dx.doi.org/10.1049/ip-g-1.1985.0023.

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Davies, J., R. Studer, Y. Sure, and P. W. Warren. "Next generation knowledge management." BT Technology Journal 23, no. 3 (2005): 175–90. http://dx.doi.org/10.1007/s10550-005-0040-3.

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B, Yeslando J. Gonzalez. "Investigate from the knowledge of the peoples." Sociology International Journal 2, no. 6 (2018): 726–28. http://dx.doi.org/10.15406/sij.2018.02.00128.

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The following paper addresses from a critical point of view the way on how Venezuelan universities approach popular knowledge and how it would be transmitted to future generations. For the author institutions cannot become mere instruments generating ideologies or become Universities for the Generation of Communes and less in particularities ... "believe that you can replace a research university by a university in the commune ... "1 As our current policy in Venezuela intends, it is to try to apply policies that pretend to relegate us to the past.
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Vingilis, Evelyn, Kathleen Hartford, Ted Schrecker, Beth Mitchell, Barbara Lent, and Joan Bishop. "Integrating Knowledge Generation with Knowledge Diffusion and Utilization." Canadian Journal of Public Health 94, no. 6 (2003): 468–71. http://dx.doi.org/10.1007/bf03405087.

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Dissertations / Theses on the topic "Knowledge generation"

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Mohamud, Mohamed Omar. "The generation of knowledge in knowledge-based firms." Thesis, University of Leeds, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439583.

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Taneja, Abhinav 1975. "Knowledge organization and content generation in knowledgemediaries." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/8875.

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Thesis (S.M.)--Massachusetts Institute of Technology, Technology and Policy Program; and, (S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.<br>Includes bibliographical references (leaves 115-116).<br>by Abhinav Taneja.<br>S.B.<br>S.M.
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Cline, Ben E. "Knowledge intensive natural language generation with revision." Diss., This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-09092008-063657/.

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Sandrasegaran, Kumbesan. "A methodology for generation of fault diagnostic knowledge." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=28908.

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This dissertation presents a methodology for generation of fault diagnostic knowledge from a description of a device. The generated knowledge is to be used in a computer based learning environment for fault diagnostic tasks. In the past, developers of such environments obtained diagnostic knowledge through a knowledge engineering exercise with human experts. There are a number of drawbacks associated with such an approach. A major bottleneck in the development of such learning environments was capturing human expertise for diagnosis of an application, encoding this knowledge in a suitable form
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Cain, Mark. "Second generation knowledge based systems in habitat evaluation." Thesis, De Montfort University, 1993. http://hdl.handle.net/2086/10711.

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Many expert, or knowledge-based, systems have been constructed in the domain of ecology, several of which are concerned with habitat evaluation. However, these systems have been geared to solving particular problems, with little regard paid to the underlying relationships that exist within a biological system. The implementation of problem-solving methods with little regard to understanding the more primary knowledge of a problem area is referred to in the literature as 'shallow', whilst the representation and utilisation of knowledge of a more fundamental kind is termed 'deep'. This thesis co
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Cintra, Marcos Evandro. "Genetic generation of fuzzy knowledge bases: new perspectives." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-16072012-144620/.

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This work focus on the genetic generation of fuzzy systems. One of the main contribution of this work is the proposal of the FCA-BASED method, which generates the genetic search space using the formal concept analysis theory by extracting rules from data. The experimental evaluation results of the FCA-BASED method show its robustness, producing a good trade-off between the accuracy and the interpretability of the generated models. Moreover, the FCA-BASED method presents improvements to the DOC-BASED method, a previously proposed approach, related to the reduction of the computational cost for
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Wang, Victoria Rui. "A new generation system for scientific knowledge discovery." Phd thesis, Canberra, ACT : The Australian National University, 2015. http://hdl.handle.net/1885/151246.

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Badakhova, Arina, and Reinis Virza. "Knowledge sharing between different generations in engineering field." Thesis, Högskolan Dalarna, Företagsekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-34381.

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Purpose: The purpose of particular study is to explore individuals’ perceptions of knowledge sharing and its obstacles in a multigenerational engineering company. This study focuses on two groups of individuals: employees and managers. The perception of knowledge sharing and how differently generations perceive it is covered in this study. The obstacles which could occur during knowledge sharing between different generations in the engineering field are explored. The role of management in knowledge sharing processes is also covered. Methodology: To explore individuals’ perceptions of knowledge
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Casas, Manzanares Noé. "Injection of linguistic knowledge into neural text generation models." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/671045.

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Language is an organic construct. It emanates from the need for communication and changes through time, influenced by multiple factors. The resulting language structures are a mix of regular syntactic and morphological constructions together with divergent irregular elements. Linguistics aims at formalizing these structures, providing a rationalization of the underlying phenomena. However, linguistic information alone is not enough to fully characterize the structures in language, as they are intrinsically tied to meaning, which constrains and modulates the applicability of the linguistic phen
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Jung, Hyun Ju. "The generation and flow of knowledge in technology development." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50296.

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Scholars in strategy, economics, and sociology of science and technology have studied technology development as a source of firms’ economic gains as well as institutional changes. Drawing on the extant research of technology and innovation strategy, I investigate the problem of knowledge generation and flows in technology development. Specifically, I explore how firms generate novel technology and develop technological breakthroughs; how knowledge flows between firms affect interfirm cooperation in a knowledge network; and how science and technology programs impact the institutions of knowledg
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Books on the topic "Knowledge generation"

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Martínez-Piva, Jorge Mario, ed. Knowledge Generation and Protection. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-1264-0.

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Wolf, Steven A., and David Zilberman, eds. Knowledge Generation and Technical Change. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1499-2.

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Ash, Gerald W. Next generation knowledge management II. Ark Group, 2007.

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M, Beal George, Dissanayake Wimal, and Konoshima Sumiye, eds. Knowledge generation, exchange, and utilization. Westview Press, 1986.

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James, Gary Julian. Pedagogical knowledge: Representation, generation and application. University of Birmingham, 1992.

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Myler, Harley R. Automated knowledge generation: First year final report. National Aeronautics and Space Administration, 1988.

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Martin-Rodilla, Patricia. Digging into Software Knowledge Generation in Cultural Heritage. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69188-6.

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Cain, Mark. Second generation knowledge based systems in habitat evaluation. De Montfort University, 1993.

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Florance, Valerie. Next-generation IAIMS: Binding knowledge to effective action. Association of American Medical Colleges, 2002.

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Hassan, Salochana. Knowledge beyond colour lines: Towards repurposing knowledge generation in South African higher education. UWC Press, 2021.

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Book chapters on the topic "Knowledge generation"

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Muñoz-Seca, Beatriz, and Josep Riverola. "Knowledge Generation." In Problem-Driven Management. Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9780230504509_10.

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Ottosson, Stig. "Knowledge Generation." In Developing and Managing Innovation in a Fast Changing and Complex World. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94045-8_5.

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Hewitt, Carl. "Knowledge Processing." In Fifth Generation Computer Systems 1988. Springer London, 1988. http://dx.doi.org/10.1007/978-1-4471-3156-4_16.

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Leeflang, Peter S. H., and Alessandro M. Peluso. "Knowledge Generation in Marketing." In Quantitative Marketing and Marketing Management. Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-3722-3_7.

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Chakrabarty, Bidyut. "Knowledge generation and dissemination." In Rabindranath Tagore's Ideational Universe. Routledge India, 2023. http://dx.doi.org/10.4324/9781032630038-6.

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Seu, Irene Bruna. "Between Knowledge and Action: Multidisciplinary Frames and the Psychosocial." In Passivity Generation. Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137305039_2.

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Cimoli, Mario, and Annalisa Primi. "Intellectual Property and Development: An Interpretation of the (NEW) Markets for Knowledge." In Knowledge Generation and Protection. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1264-0_1.

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Villavicencio, Daniel. "Recent Changes in Science and Technology Policy in Mexico: Innovation Incentives." In Knowledge Generation and Protection. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1264-0_10.

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Castañeda, Jorge Amigo. "Scientific and Technological Policy in Mexico and Intellectual Property." In Knowledge Generation and Protection. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1264-0_11.

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Martínez-Piva, Jorge Mario. "Protection of Intellectual Property Rights, Innovation, and Development." In Knowledge Generation and Protection. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1264-0_2.

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Conference papers on the topic "Knowledge generation"

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Park, Jinyoung, Minseok Joo, Joo-Kyung Kim, and Hyunwoo J. Kim. "Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.1179.

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Christ, Paul, Torsten Munkelt, and Jörg Haake. "Generating SQL-Query-Items Using Knowledge Graphs." In Special Session on Automatic Item Generation. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013498300003932.

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Huang, Xin, Ligang Dong, Xian Jiang, Bin Zhuge, Luping Yu, and Yiyang Yu. "Question generation based on knowledge base." In 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC). IEEE, 2024. https://doi.org/10.1109/icairc64177.2024.10899963.

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Zhu, Xiangrong, Yuexiang Xie, Yi Liu, Yaliang Li, and Wei Hu. "Knowledge Graph-Guided Retrieval Augmented Generation." In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.naacl-long.449.

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Wang, WenHao, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, and Yanfeng Wang. "KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.438.

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Shell, Dylan A., and Jason M. O’Kane. "Knowledge acquisition plans: Generation, combination, and execution." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610628.

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Athale, Mihir, and Vishal Vaddina. "Knowledge Graph Based Repository-Level Code Generation." In 2025 IEEE/ACM International Workshop on Large Language Models for Code (LLM4Code). IEEE, 2025. https://doi.org/10.1109/llm4code66737.2025.00026.

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Roy, Bipraneel, Hon Cheung, and Chun Ruan. "Intrusion Classifier Architecture Generation with Zero Prior Knowledge Employing Generative Adversarial Networks." In 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS). IEEE, 2024. https://doi.org/10.1109/fmlds63805.2024.00016.

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Tang, Hongbo, Shuai Zhao, Jing Luo, Yihang Su, and Jinjian Yang. "LayoutKAG: Enhancing Layout Generation in Large Language Models Through Knowledge-Augmented Generation." In 2024 3rd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR). IEEE, 2024. https://doi.org/10.1109/aihcir65563.2024.00056.

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Nguyen, Khanh-Vinh, Thanh-Tam Doan, Quang-Thuy Ha, and Mai-Vu Tran. "Enhancing Generative Models with Hierarchical Architecture for Automated Product Advertising Content Generation." In 2024 16th International Conference on Knowledge and System Engineering (KSE). IEEE, 2024. https://doi.org/10.1109/kse63888.2024.11063544.

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Reports on the topic "Knowledge generation"

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Robinson, J. A., and Kevin J. Greene. New Generation Knowledge Processing. Volume 1. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada190165.

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Robinson, J. A., and Kevin J. Greene. New Generation Knowledge Processing. Volume 2. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada190166.

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Robinson, J. A., and Kevin J. Greene. New Generation Knowledge Processing. Volume 3. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada190167.

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Filman, Robert E., Conrad Bock, Roy Feldman, Joshua Singer, and Richard Treitel. New Generation Knowledge System Development Tools. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada223008.

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Thomas, Maikel A., Heidi Anne Smartt, and Robert F. Matthews. Processing large sensor data sets for safeguards : the knowledge generation system. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1039393.

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Bouillon, Cesar, Anna Crespo, Odette Maciel, et al. Review of Knowledge Generation and Dissemination in the Inter-American Development Bank. Inter-American Development Bank, 2019. http://dx.doi.org/10.18235/0001652.

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Bouillon, César P., Anna Crespo, Coral Fernández Illescas, et al. Approach Paper: Knowledge Generation and Dissemination in the Inter-American Development Bank Group. Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0000808.

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Volkova, Svitlana, Nathan Hodas, and Timothy Scheibe. AI-Driven Cross-Domain Knowledge Discoveryand Hypotheses Generation for Enhanced Earth System Predictability. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769670.

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Canto, Patricia, ed. Academia and Public Policy: Towards the co-generation of knowledge and learning processes. Universidad de Deusto, 2009. http://dx.doi.org/10.18543/pagg5989.

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Katzenberger, John, James Arnott, and Alyson Wright. Next Generation Climate Change Experiments Needed to Advance Knowledge and for Assessment of CMIP6. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1163131.

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