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diff --git a/gnqa/paper2_eval/data/dataset/gpt4o/intermediate_files/gpt4o_cs_gn_10 b/gnqa/paper2_eval/data/dataset/gpt4o/intermediate_files/gpt4o_cs_gn_10 new file mode 100644 index 0000000..2023cc2 --- /dev/null +++ b/gnqa/paper2_eval/data/dataset/gpt4o/intermediate_files/gpt4o_cs_gn_10 @@ -0,0 +1,65 @@ +{ + "titles": [ + "2015 - Cell cycle gene expression networks discovered using systems biology Significance in carcinogenesis.pdf", + "2020 - Gene network a completely updated tool for systems genetics analyses.pdf", + "2020 - Gene network a continuously updated tool for systems genetics analyses.pdf", + "2020 - Gene network a completely updated tool for systems genetics analyses.pdf", + "2020 - Gene network a completely updated tool for systems genetics analyses.pdf", + "2019 - Implementation of Genomic Medicine.pdf", + "2021 -Highlights from the Era of Open Source Web-Based Tools.pdf", + "2020 -Highlights from the Era of Open Source Web-Based Tools.pdf", + "2011 - Using the PhenoGen Website for \u201cIn Silico\u201d Analysis of Morphine-Induced Analgesia Identifying Candidate Genes.pdf", + "2009 - Genetical Toxicogenomics in Drosophila Identifies Master Modulatory Loci that are Regulated by Developmental Exposure to Lead.pdf" + ], + "extraction_id": [ + "5b6d04d2-3aa2-5a43-814a-b13e60e3bb1d", + "858f630f-9443-5f13-ac40-8e16eadd9ba1", + "2fd15885-4e19-536f-a90a-3650bd23c37e", + "406a0217-5585-5daf-88d0-5904cfb04c3b", + "858f630f-9443-5f13-ac40-8e16eadd9ba1", + "90e220eb-61ba-56bd-b455-ac29a1df5867", + "62c12bdc-ae2b-5cc0-88f5-a3c1a264326b", + "28892088-5a95-56eb-822d-b12da3a612d0", + "0e3a5e40-06b0-58d4-b495-3093954ed17b", + "3ca48658-ca83-5952-8f8d-eb7ae491e6b6" + ], + "document_id": [ + "6f354254-4f4d-52ad-bed7-9356f43c0b20", + "128224f1-3545-52c3-93cb-77c3cf4ec70a", + "374fd6d3-e6c1-560c-a421-a4b393ba23b2", + "128224f1-3545-52c3-93cb-77c3cf4ec70a", + "128224f1-3545-52c3-93cb-77c3cf4ec70a", + "a7faf15a-ed90-575b-805c-11f33fb2d6dd", + "0a6f3d2e-70c3-5db7-bfc0-93ad04806104", + "f2f0dc2f-eaf5-57f6-9ffa-816d3fab6640", + "eb266fa1-8dec-5c56-a3d5-b508bd6bd448", + "301d6469-2a9c-5960-88ac-8437212d78ab" + ], + "id": [ + "chatcmpl-AIGluZZhH7wm0mptVn5RRlhFxsJ3L", + "dcb29dfe-ba22-54bc-91f7-af3261a18fd2", + "d7e5ef8a-d43a-587d-8ffd-cd5e8e63f6ab", + "aaa9652c-64f3-53e7-ab24-48c5d19136d0", + "7dd2de60-d539-59e1-9c4c-2927367d650f", + "c63cfaee-749e-547b-9c0a-086266f10670", + "a9bbd320-eb89-5ae7-a3af-703ca68c8305", + "aaf19f3a-353a-595b-b7de-da9f01a7b0f1", + "7b626f27-5aed-5464-a20d-463954ff057d", + "0b2bd83d-680a-52d2-8116-50cce4f35cc3", + "40ecbff2-5039-57f0-a01e-9d412d559dbe" + ], + "contexts": [ + "of importance in the emergence of precision medicine ( Curtis, 2015 ; Desautels et al., 2014 ; Glade Bender et al., 2015 ; Jorgensen, 2015 ; Kummar et al., 2015 ; Marquet et al., 2015 ; Rubin, 2014 ) wherein therapeutic strategies need to be aligned with specific properties of tumors. Methods GeneNetwork and WebGestalt GeneNetwork is an open access, online data analysis resource for systems biology and systems genetics. It contains a large number of microarray datasets from multiple tissues of", + "gathered together into an easily accessible format, not siloed into disparate data pools that cannot easily be integrated, valid ated, o r extended. This approach will allow us to make animal models of so called precision medicine, although perhaps more accurately, we want predictive medicine , where a phenotypic outcome (such as disease) can be predicted , and avoided . GeneNetwork (genenetwork.or g; GN) is one tool for systems genetics and predictive medicine,", + "The GeneNetwork site is supported by the University of Tennessee Center for Integrative and Translational Genomics, NI GMS Systems Genetics and Precision Medicine Project (R01 GM123489, 2017 -2021), NIDA Core Center of Excellence in Transcriptomics, Systems Genetics, and the Addictome (P30 DA044223, 2017 -2022), NIA Translational Systems Genetics of Mitochondria, Metabolism, and Aging (R01AG043930, 2013 -2018), NIAAA Integrative", + "The GeneNetwork site is supported by the University of Tennessee Center for Integrative and Translational Genomics, NI GMS Systems Genetics and Precision Medicine Project (R01 GM123489, 2017 -2021), NIDA Core Center of Excellence in Transcriptomics, Systems Genetics, and the Addictome (P30 DA044223, 2017 -2022), NIA Translational Systems Genetics of Mitochondria, Metabolism, and Aging (R01AG043930, 2013 -2018), NIAAA Integrative", + "GeneNetwork have reinvigorated it, including the addition of data from 10 species, multi -omics analysis, updated code, and new tools. The new GeneNetwork is now an exciting resource for predictive medicine and systems genetics, which is constantly being maintained and improved. Here, we give a brief overview of the process for carrying out some of the most common functions on GeneNetwork, as a gateway to deeper analyses , demonstrating how a small", + "eron Genetics Center ( https://www.regeneron.com/ge - netics-center ), and aims to identify rare loss-of-function mutations in founder populations to delineate further the genetic factors that underpin health and disease. This ini - tiative is also addressed at developing countries and those in resource-limiting environments, under the coordina - tion of the Genomic Medicine Alliance ( http://www.ge - nomicmedicinealliance.org ), a founding partner of the", + "distributed neuroscience data sharing with ever expanding prospects for future breakthroughs. GeneNetwork.org : genetic analysis for all neuroscientists Originally named webqtl, GeneNetwork.org is the oldest contin- uously operating website in biomedical research ( Williams, 1994). This massive database contains ;40 million datasets. GeneNetwork.org also offers a powerful statistical platform for online network analyses and mapping, enabling numerous mo-", + "distributed neuroscience data sharing with ever expanding prospects for future breakthroughs. GeneNetwork.org : genetic analysis for all neuroscientists Originally named webqtl, GeneNetwork.org is the oldest contin- uously operating website in biomedical research ( Williams, 1994). This massive database contains ;40 million datasets. GeneNetwork.org also offers a powerful statistical platform for online network analyses and mapping, enabling numerous mo-", + "al., 2005). GeneNetwork is designed primarily as a web service for exploratory and statistical analysis of large published phenotype and genome datasets, and includes data from several species (see Supplementary Discussion). GeneNetwork includes extensive phenotype data extracted from the literature and submitted by users, which makes it practical to compare data on drug responses with gene expression patterns. Gene expression", + "deposited in the GeneNetwork website (http://www.genenetwork.org) so that other investigators can look for correlations between gene expression patterns and phenotypic traits. The GeneNetwork is an open resource and consists of a set of linked resources for systems genetics. It has been designed for integration of networks of genes, transcripts, and traits such as toxicity, cancer susceptibility, and behavior for several species. Phenotypic QTLs using the" + ], + "answer": "GeneNetwork.org plays a significant role in personalized medicine by serving as an open-access, online data analysis resource for systems biology and systems genetics [1]. It is a tool for systems genetics and predictive medicine, which aims to predict and potentially avoid phenotypic outcomes such as diseases [2]. The platform supports the integration of networks of genes, transcripts, and traits, which is crucial for understanding complex genetic interactions and their implications for personalized medicine [10]. Additionally, GeneNetwork.org facilitates the comparison of data on drug responses with gene expression patterns, which is essential for tailoring therapeutic strategies to individual genetic profiles [9].", + "question": "What role does GeneNetwork.org play in personalized medicine?" +}
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