{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T16:48:37Z","timestamp":1788626917513,"version":"build-2803163510"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012165","name":"the National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["No.2021YFB3100500"],"award-info":[{"award-number":["No.2021YFB3100500"]}],"id":[{"id":"10.13039\/501100012165","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.61902265"],"award-info":[{"award-number":["No.61902265"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Empir Software Eng"],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1007\/s10664-024-10470-8","type":"journal-article","created":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T14:37:57Z","timestamp":1714747077000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["VioDroid-Finder: automated evaluation of compliance and consistency for Android apps"],"prefix":"10.1007","volume":"29","author":[{"given":"Junren","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5871-946X","authenticated-orcid":false,"given":"Cheng","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaxuan","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,5,3]]},"reference":[{"key":"10470_CR1","doi-asserted-by":"crossref","unstructured":"Ahmad W, Chi J, Tian Y, Chang K-W (2020) PolicyQA: a reading comprehension dataset for privacy policies. arXiv:2010.02557","DOI":"10.18653\/v1\/2020.findings-emnlp.66"},{"key":"10470_CR2","unstructured":"AIR (2023) China\u2019s new AI regulations. https:\/\/www.lw.com\/admin\/upload\/SiteAttachments\/Chinas-New-AI-Regulations.pdf. Accessed 20 Oct 2023"},{"key":"10470_CR3","unstructured":"AndroidDeveloper (2022) Developer guides. https:\/\/developer.android.com\/guide. Accessed 18 Sept 2022"},{"key":"10470_CR4","unstructured":"Statista (2022) Mobile operating systems\u2019 market share worldwide from 1st quarter 2009 to 4th quarter 2022. https:\/\/www.statista.com\/statistics\/272698\/global-market-share-held-by-mobile-operating-systems-since-2009\/. Accessed 18 Sept 2022"},{"key":"10470_CR5","unstructured":"Apktool (2022) Apktool: a tool for reverse engineering android APK files. https:\/\/ibotpeaches.github.io\/Apktool\/. Accessed 18 Sept 2022"},{"key":"10470_CR6","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman L (2001) Random forests. Mach Learn 45:5\u201332","journal-title":"Mach Learn"},{"issue":"2","key":"10470_CR7","doi-asserted-by":"publisher","first-page":"88","DOI":"10.2478\/popets-2021-0019","volume":"2021","author":"D Bui","year":"2021","unstructured":"Bui D, Shin KG, Choi J-M, Shin J (2021) Automated extraction and presentation of data practices in privacy policies. Proc Priv Enhancing Technol 2021(2):88\u2013110","journal-title":"Proc Priv Enhancing Technol"},{"key":"10470_CR8","unstructured":"CEJAS OA, Abualhaija S, Torre D, Sabetzadeh M, Briand L (2021) AI-enabled automation for completeness checking of privacy policies. IEEE Trans Softw Eng"},{"key":"10470_CR9","unstructured":"CGTN (2018) CCA report: 91 out of 100 apps suspected of excessive collection of personal data. https:\/\/news.cgtn.com\/news\/3d3d514e7959544f30457a6333566d54\/share_p.html. Accessed 18 Sept 2022"},{"key":"10470_CR10","doi-asserted-by":"crossref","unstructured":"Chen J, Huang C, Han J (2024) VioDroid-Finder: automated evaluation of compliance and consistency for Android apps. https:\/\/doi.org\/10.5281\/zenodo.10690737","DOI":"10.1007\/s10664-024-10470-8"},{"key":"10470_CR11","doi-asserted-by":"publisher","first-page":"3205","DOI":"10.1007\/s10664-019-09722-9","volume":"24","author":"R Coppola","year":"2019","unstructured":"Coppola R, Morisio M, Torchiano M, Ardito L (2019) Scripted GUI testing of Android open-source apps: evolution of test code and fragility causes. Empir Softw Eng 24:3205\u20133248","journal-title":"Empir Softw Eng"},{"key":"10470_CR12","unstructured":"Cui H, Trimananda R, Markopoulou A, Jordan S (2022) PoliGraph: automated privacy policy analysis using knowledge graphs. arXiv:2210.06746"},{"key":"10470_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-6265-282-8","volume-title":"EU personal data protection in policy and practice","author":"B Custers","year":"2019","unstructured":"Custers B, Sears AM, Dechesne F, Georgieva I, Tani T, Van der Hof S (2019) EU personal data protection in policy and practice. Springer"},{"issue":"2","key":"10470_CR14","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1007\/s10664-022-10249-9","volume":"28","author":"N Daoudi","year":"2023","unstructured":"Daoudi N, Allix K, Bissyand\u00e9 TF, Klein J (2023) Assessing the opportunity of combining state-of-the-art android malware detectors. Empir Softw Eng 28(2):22","journal-title":"Empir Softw Eng"},{"key":"10470_CR15","unstructured":"DasLab (2024) viodroid-finder. https:\/\/github.com\/das-lab\/VioDroid-Finder. Accessed 22 Feb 2024"},{"key":"10470_CR16","doi-asserted-by":"publisher","first-page":"5084","DOI":"10.1007\/s10664-020-09879-8","volume":"25","author":"BF Demissie","year":"2020","unstructured":"Demissie BF, Ceccato M, Shar LK (2020) Security analysis of permission re-delegation vulnerabilities in android apps. Empir Softw Eng 25:5084\u20135136","journal-title":"Empir Softw Eng"},{"key":"10470_CR17","unstructured":"Desnos A, Gueguen G (2013) Androguard-reverse engineering, malware and goodware analysis of android applications. URL code. google. com\/p\/androguard, 153"},{"key":"10470_CR18","unstructured":"Devlin J, Chang M-W, Lee K, Toutanova K (2018) BERT: pre-training of deep bidirectional transformers for language understanding. arXiv:1810.04805"},{"key":"10470_CR19","doi-asserted-by":"crossref","unstructured":"Elluri L, Joshi KP, Kotal A (2020) Measuring semantic similarity across EU GDPR regulation and cloud privacy policies. In: 2020 IEEE international conference on big data (Big Data). IEEE, pp 3963\u20133978","DOI":"10.1109\/BigData50022.2020.9377864"},{"key":"10470_CR20","doi-asserted-by":"publisher","first-page":"102513","DOI":"10.1016\/j.cose.2021.102513","volume":"112","author":"O Fan","year":"2022","unstructured":"Fan O, Jian X (2022) S3Feature: a static sensitive subgraph-based feature for android malware detection. Comput Secur 112:102513","journal-title":"Comput Secur"},{"key":"10470_CR21","doi-asserted-by":"crossref","unstructured":"Fan M,\u00a0Yu L, Chen S, Zhou H, Luo X, Li S, Liu Y, Liu J, Liu T (2020) An empirical evaluation of GDPR compliance violations in Android mHealth apps. In: 2020 IEEE 31st international symposium on software reliability engineering (ISSRE). IEEE, pp 253\u2013264","DOI":"10.1109\/ISSRE5003.2020.00032"},{"key":"10470_CR22","unstructured":"GooglePlay (2022) Google play store, data security. https:\/\/support.google.com\/googleplay\/answer\/11416267?hl=en. Accessed 18 Sept 2022"},{"key":"10470_CR23","doi-asserted-by":"crossref","unstructured":"He H, Choi JD (2021) The stem cell hypothesis: dilemma behind multi-task learning with transformer encoders. In: Proceedings of the 2021 conference on empirical methods in natural language processing, pp 5555\u20135577, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics. https:\/\/aclanthology.org\/2021.emnlp-main.451","DOI":"10.18653\/v1\/2021.emnlp-main.451"},{"issue":"8","key":"10470_CR24","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter S, Schmidhuber J (1997) Long short-term memory. Neural Comput 9(8):1735\u20131780","journal-title":"Neural Comput"},{"key":"10470_CR25","unstructured":"Huang J, Li Z, Xiao X, Wu Z, Lu K, Zhang X, Jiang G (2015) $$\\{$$SUPOR$$\\}$$: precise and scalable sensitive user input detection for android apps. In: 24th USENIX security symposium (USENIX Security 15). pp 977\u2013992"},{"key":"10470_CR26","doi-asserted-by":"crossref","unstructured":"Huang J, Zhang X, Tan L, Wang P, Liang B (2014) Asdroid: detecting stealthy behaviors in android applications by user interface and program behavior contradiction. In: Proceedings of the 36th international conference on software engineering. pp 1036\u20131046","DOI":"10.1145\/2568225.2568301"},{"issue":"5\u20136","key":"10470_CR27","first-page":"260","volume":"27","author":"J Kaur","year":"2018","unstructured":"Kaur J, Dara RA, Obimbo C, Song F, Menard K (2018) A comprehensive keyword analysis of online privacy policies. Inf Secur J: Glob Perspect 27(5\u20136):260\u2013275","journal-title":"Inf Secur J: Glob Perspect"},{"key":"10470_CR28","unstructured":"Kingma DP, Ba J (2014) Adam: a method for stochastic optimization. arXiv:1412.6980"},{"key":"10470_CR29","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/j.neucom.2019.01.078","volume":"337","author":"G Liu","year":"2019","unstructured":"Liu G, Guo J (2019) Bidirectional LSTM with attention mechanism and convolutional layer for text classification. Neurocomputing 337:325\u2013338","journal-title":"Neurocomputing"},{"issue":"5","key":"10470_CR30","doi-asserted-by":"publisher","first-page":"1184","DOI":"10.1109\/TMC.2019.2903186","volume":"19","author":"X Liu","year":"2019","unstructured":"Liu X, Liu J, Zhu S, Wang W, Zhang X (2019) Privacy risk analysis and mitigation of analytics libraries in the android ecosystem. IEEE Trans Mobile Comput 19(5):1184\u20131199","journal-title":"IEEE Trans Mobile Comput"},{"key":"10470_CR31","doi-asserted-by":"crossref","unstructured":"Liu K, Xu G, Zhang X, Xu G, Zhao Z (2022) Evaluating the privacy policy of android apps: a privacy policy compliance study for popular apps in China and Europe. Sci Program 2022","DOI":"10.1155\/2022\/2508690"},{"key":"10470_CR32","doi-asserted-by":"crossref","unstructured":"Liu S, Zhao B, Guo R, Meng G, Zhang F, Zhang M (2021) Have you been properly notified? automatic compliance analysis of privacy policy text with GDPR Article 13. In: Proceedings of the web conference, vol 2021, pp 2154\u20132164","DOI":"10.1145\/3442381.3450022"},{"key":"10470_CR33","first-page":"543","volume":"4","author":"AM McDonald","year":"2008","unstructured":"McDonald AM, Cranor LF (2008) The cost of reading privacy policies. Isjlp 4:543","journal-title":"Isjlp"},{"key":"10470_CR34","unstructured":"Nakayama H, Kubo T, Kamura J, Taniguchi Y,\u00a0Liang X (2018) Doccano: text annotation tool for human. Software available from https:\/\/github.com\/doccano\/doccano"},{"issue":"3","key":"10470_CR35","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1109\/TIFS.2016.2631949","volume":"12","author":"Y Nan","year":"2016","unstructured":"Nan Y, Yang Z, Yang M, Zhou S, Zhang Y, Guofei G, Wang X, Sun L (2016) Identifying user-input privacy in mobile applications at a large scale. IEEE Trans Inf Forensics Secur 12(3):647\u2013661","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"10470_CR36","unstructured":"Nan Y, Yang M, Yang Z, Zhou S, Gu G, Wang X (2015) $$\\{$$UIPicker$$\\}$$:$$\\{$$User-Input$$\\}$$ privacy identification in mobile applications. In: 24th USENIX security symposium (USENIX Security 15). pp 993\u20131008"},{"key":"10470_CR37","doi-asserted-by":"crossref","unstructured":"Nejad NM, Jabat P, Nedelchev R, Scerri S, Graux D (2020) Establishing a strong baseline for privacy policy classification. In: IFIP international conference on ICT systems security and privacy protection. Springer, pp 370\u2013383","DOI":"10.1007\/978-3-030-58201-2_25"},{"key":"10470_CR38","unstructured":"NetworkData (2021) Guidelines for classification and hierarchy of network data. https:\/\/www.tc260.org.cn\/upload\/2021-12-31\/1640948142376022576.pdf. Accessed 22 Feb 2024"},{"issue":"1","key":"10470_CR39","doi-asserted-by":"publisher","first-page":"e23409","DOI":"10.2196\/23409","volume":"9","author":"Z Ni","year":"2021","unstructured":"Ni Z, Wang Y, Qian Y et al (2021) Privacy policy compliance of chronic disease management apps in China: scale development and content evaluation. JMIR mHealth and uHealth 9(1):e23409","journal-title":"JMIR mHealth and uHealth"},{"key":"10470_CR40","unstructured":"NPI (2020) Scope of necessary personal information for common types of mobile internet applications (apps) (draft for solicitation of comments). https:\/\/www.chinalawtranslate.com\/en\/app-necessary-data. Accessed 18 Sept 2022"},{"key":"10470_CR41","unstructured":"Okoyomon E, Samarin N, Wijesekera P,\u00a0On AEB, Vallina-Rodriguez N, Reyes I, Feal \u00c1, Egelman S et al (2019) On the ridiculousness of notice and consent: contradictions in app privacy policies. In: Workshop on technology and consumer protection (ConPro 2019), in conjunction with the 39th IEEE symposium on security and privacy"},{"key":"10470_CR42","unstructured":"PIC (2022) Mobile intelligent terminal and application software user personal information protection implementation guide, part 2: Personal information classification. https:\/\/www.taf.org.cn\/upload\/notice\/2022-0919-150143-7293742.pdf. Accessed 22 Feb 2024"},{"key":"10470_CR43","unstructured":"PIPL (2021) Personal information protection law of the People\u2019s Republic of China. http:\/\/en.npc.gov.cn.cdurl.cn\/2021-12\/29\/c_694559.htm. Accessed 18 Sept 2022"},{"key":"#cr-split#-10470_CR44.1","unstructured":"PIS (2020) Information security technology- personal information"},{"key":"#cr-split#-10470_CR44.2","unstructured":"(pi) security specification. https:\/\/www.tc260.org.cn\/upload\/2020-09-18\/1600432872689070371.pdf. Accessed 18 Sept 2022"},{"key":"10470_CR45","unstructured":"PIRule (2020) Mobile intelligent terminal and application software user personalinformation protection implementation guide, part 8: Personal information collection and use rules. https:\/\/www.taf.org.cn\/Association_standard_detail.aspx?Id=7a9c1009-07f5-42a7-830a-a36c65e647e4. Accessed 22 Feb 2024"},{"key":"10470_CR46","unstructured":"Ramos J et al (2003) Using TF-IDF to determine word relevance in document queries. In: Proceedings of the first instructional conference on machine learning, vol 242. Citeseer, pp 29\u201348"},{"key":"10470_CR47","unstructured":"Rehurek R, Sojka P (2011) Gensim\u2013Python framework for vector space modelling. NLP Centre, Faculty of Informatics, Masaryk University, Brno, Czech Republic 3(2)"},{"key":"10470_CR48","unstructured":"Sanh V, Debut L, Chaumond J, Wolf T (2019) DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. arXiv:1910.01108"},{"key":"10470_CR49","doi-asserted-by":"crossref","unstructured":"Sathyendra KM, Wilson S, Schaub F, Zimmeck S, Sadeh N (2017) Identifying the provision of choices in privacy policy text. In: Proceedings of the 2017 conference on empirical methods in natural language processing. pp 2774\u20132779","DOI":"10.18653\/v1\/D17-1294"},{"key":"10470_CR50","unstructured":"Sel (2020) Self-assessment guide for the collection and use of personal information by mobile internet applications (apps). https:\/\/www.tc260.org.cn\/upload\/2020-07-22\/1595396892533085831.pdf. Accessed 22 Feb 2024"},{"key":"10470_CR51","unstructured":"Shanghai Consumer Council (2020) The evaluation report of 600 apps. https:\/\/315.sh.cn\/html\/wqdt\/2020\/12\/17\/40657563-14e0-4fd9-bb8c-8d42609a9c03.shtml. Accessed 18 Sept 2022"},{"issue":"6","key":"10470_CR52","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1007\/s10664-023-10375-y","volume":"28","author":"LK Shar","year":"2023","unstructured":"Shar LK, Demissie BF, Ceccato M, Tun YN, Lo D, Jiang L, Bienert C (2023) Experimental comparison of features, analyses, and classifiers for android malware detection. Empir Softw Eng 28(6):130","journal-title":"Empir Softw Eng"},{"key":"10470_CR53","doi-asserted-by":"crossref","unstructured":"Slavin R, Wang X, Hosseini MB, Hester J, Krishnan R, Bhatia J, Breaux TD, Niu J (2016a) PVDetector: a detector of privacy-policy violations for Android apps. In: Proceedings of the international conference on mobile software engineering and systems. pp 299\u2013300","DOI":"10.1145\/2897073.2897720"},{"key":"10470_CR54","doi-asserted-by":"crossref","unstructured":"Slavin R, Wang X, Hosseini MB, Hester J, Krishnan R, Bhatia J, Breaux TD, Niu J (2016b) Toward a framework for detecting privacy policy violations in android application code. In: Proceedings of the 38th international conference on software engineering. pp 25\u201336","DOI":"10.1145\/2884781.2884855"},{"key":"10470_CR55","unstructured":"PapersWithCode (2023) Text classification task best model. https:\/\/paperswithcode.com\/task\/text-classification. Accessed 15 Oct 2023"},{"key":"10470_CR56","unstructured":"Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser \u0141, Polosukhin I (2017) Attention is all you need. Advances in neural information processing systems 30"},{"key":"#cr-split#-10470_CR57.1","unstructured":"Verderame L, Caputo D, Romdhana A, Merlo A (2020) On the"},{"key":"#cr-split#-10470_CR57.2","unstructured":"(un) reliability of privacy policies in android apps. In: 2020 International joint conference on neural networks (IJCNN). IEEE, pp 1-9"},{"key":"10470_CR58","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.pmcj.2018.12.006","volume":"53","author":"Y Wang","year":"2019","unstructured":"Wang Y, Chen Y, Ye F, Liu H, Yang J (2019) Implications of smartphone user privacy leakage from the advertiser\u2019s perspective. Pervasive Mob Comput 53:13\u201332","journal-title":"Pervasive Mob Comput"},{"key":"10470_CR59","doi-asserted-by":"crossref","unstructured":"Wilson S, Schaub F, Dara AA, Liu F, Cherivirala S, Leon PG, Andersen MS, Zimmeck S, Sathyendra KM, Russell NC et al (2016) The creation and analysis of a website privacy policy corpus. In: Proceedings of the 54th annual meeting of the association for computational linguistics (vol 1: Long Papers), pp 1330\u20131340","DOI":"10.18653\/v1\/P16-1126"},{"key":"10470_CR60","unstructured":"Xposed (2022) xposed. https:\/\/github.com\/rovo89\/Xposed. Accessed 18 Sept 2022"},{"key":"10470_CR61","unstructured":"Jiemian (2022) Learning app suspected of mass data leak. https:\/\/en.jiemian.com\/article\/7638486.html. Accessed 22 Feb 2024"},{"issue":"2","key":"10470_CR62","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1109\/TSE.2018.2886875","volume":"47","author":"L Yu","year":"2018","unstructured":"Yu L, Luo X, Chen J, Zhou H, Zhang T, Chang H, Leung HKN (2018) PPChecker: towards accessing the trustworthiness of android apps\u2019 privacy policies. IEEE Trans Softw Eng 47(2):221\u2013242","journal-title":"IEEE Trans Softw Eng"},{"key":"10470_CR63","unstructured":"Zaeem RN, Barber KS (2021) A large publicly available corpus of website privacy policies based on DMOZ. In: Proceedings of the eleventh ACM conference on data and application security and privacy. pp 143\u2013148"},{"key":"10470_CR64","first-page":"66","volume":"2019","author":"S Zimmeck","year":"2019","unstructured":"Zimmeck S, Story P, Smullen D, Ravichander A, Wang Z, Reidenberg JR, Russell NC, Sadeh N (2019) MAPS: scaling privacy compliance analysis to a million apps. Proc Priv Enhancing Tech 2019:66","journal-title":"Proc Priv Enhancing Tech"}],"container-title":["Empirical Software Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10664-024-10470-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10664-024-10470-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10664-024-10470-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T02:12:47Z","timestamp":1717207967000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10664-024-10470-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":66,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,5]]}},"alternative-id":["10470"],"URL":"https:\/\/doi.org\/10.1007\/s10664-024-10470-8","relation":{},"ISSN":["1382-3256","1573-7616"],"issn-type":[{"value":"1382-3256","type":"print"},{"value":"1573-7616","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5]]},"assertion":[{"value":"4 March 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 May 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no relevant or non-financial financial interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}],"article-number":"64"}}