{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T17:53:40Z","timestamp":1791050020889,"version":"4.1.0"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T00:00:00Z","timestamp":1790985600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T00:00:00Z","timestamp":1790985600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["AI &amp; Soc"],"DOI":"10.1007\/s00146-026-03352-8","type":"journal-article","created":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T17:20:58Z","timestamp":1791048058000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The 3\u00d72A framework: a profile-based interpretive approach to human\u2013AI coevolution and adaptive governance"],"prefix":"10.1007","author":[{"given":"Valeriu","family":"Ungureanu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,10,3]]},"reference":[{"key":"3352_CR1","doi-asserted-by":"publisher","unstructured":"Abebe R, Barocas S, Kleinberg J et\u00a0al (2020) Roles for computing in social change. In: Proceedings of the 2020 conference on fairness, accountability, and transparency, FAT* \u201920. Association for Computing Machinery (ACM), New York, NY, USA, pp 252\u2013260. https:\/\/doi.org\/10.1145\/3351095.3372877","DOI":"10.1145\/3351095.3372877"},{"key":"3352_CR2","doi-asserted-by":"publisher","unstructured":"Amershi S et\u00a0al (2019) Guidelines for Human\u2013AI interaction. In: Proceedings of the CHI conference on human factors in computing systems. https:\/\/doi.org\/10.1145\/3290605.3300233","DOI":"10.1145\/3290605.3300233"},{"key":"3352_CR3","doi-asserted-by":"publisher","unstructured":"Bansal G, Wu T, Zhou J et\u00a0al (2021) Does the whole exceed its parts? The effect of AI explanations on complementary team performance. In: Proceedings of the 2021 CHI conference on human factors in computing systems, pp 1\u201316. https:\/\/doi.org\/10.1145\/3411764.3445717","DOI":"10.1145\/3411764.3445717"},{"key":"3352_CR4","unstructured":"Bernardi J, Mukobi G, Greaves H (2025) Societal adaptation to advanced AI. arXiv:2405.10295"},{"key":"3352_CR5","doi-asserted-by":"publisher","unstructured":"Bernstein MH, Sheppard B, Bruno MS et al (2025) Randomized study of the impact of AI on perceived legal liability for radiologists. NEJM AI. https:\/\/doi.org\/10.1056\/AIoa2400785","DOI":"10.1056\/AIoa2400785"},{"key":"3352_CR6","doi-asserted-by":"publisher","unstructured":"Bommasani R et\u00a0al (2021) On the opportunities and risks of foundation models. arXiv preprint arXiv:2108.07258. https:\/\/doi.org\/10.48550\/arXiv.2108.07258","DOI":"10.48550\/arXiv.2108.07258"},{"key":"3352_CR7","unstructured":"Boonstra M, Bruneault F, Chakraborty S et\u00a0al (2024) Lessons learned in performing a trustworthy AI and fundamental rights assessment. \u201cResponsible use of AI\u201d pilot project with the Province of Frysl\u00e2n, Rijks ICT Gilde and the Z-Inspection initiative. arXiv:2404.14366"},{"issue":"s1","key":"3352_CR8","doi-asserted-by":"publisher","first-page":"S15","DOI":"10.3233\/WOR-220268","volume":"73","author":"GA Boy","year":"2022","unstructured":"Boy GA, Morel C (2022) The machine as a partner: human\u2013machine teaming design using the PRODEC method. WORK J Prev Assess Rehabil 73(s1):S15\u2013S30. https:\/\/doi.org\/10.3233\/WOR-220268","journal-title":"WORK J Prev Assess Rehabil"},{"issue":"2","key":"3352_CR9","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1093\/qje\/qjae044","volume":"140","author":"E Brynjolfsson","year":"2025","unstructured":"Brynjolfsson E, Li D, Raymond L (2025) Generative AI at work. Q J Econ 140(2):889\u2013942. https:\/\/doi.org\/10.1093\/qje\/qjae044","journal-title":"Q J Econ"},{"key":"3352_CR10","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3015350","author":"R Calo","year":"2017","unstructured":"Calo R (2017) Artificial intelligence policy: a primer and roadmap. SSRN Electron J. https:\/\/doi.org\/10.2139\/ssrn.3015350","journal-title":"SSRN Electron J"},{"issue":"8","key":"3352_CR11","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1109\/MC.2020.2997573","volume":"53","author":"L Chen","year":"2020","unstructured":"Chen L, Ning H, Nugent CD et al (2020) Hybrid human\u2013artificial intelligence. Computer 53(8):14\u201317. https:\/\/doi.org\/10.1109\/MC.2020.2997573","journal-title":"Computer"},{"key":"3352_CR12","doi-asserted-by":"publisher","DOI":"10.1145\/3610219","author":"V Chen","year":"2023","unstructured":"Chen V, Liao QV, Wortman Vaughan J et al (2023) Understanding the role of human intuition on reliance in human-AI decision-making with explanations. Proc ACM Hum Comput Interact. https:\/\/doi.org\/10.1145\/3610219","journal-title":"Proc ACM Hum Comput Interact"},{"key":"3352_CR13","doi-asserted-by":"publisher","DOI":"10.12987\/9780300252392","volume-title":"Atlas of AI: power, politics, and the planetary costs of artificial intelligence","author":"K Crawford","year":"2021","unstructured":"Crawford K (2021) Atlas of AI: power, politics, and the planetary costs of artificial intelligence. Yale University Press. https:\/\/doi.org\/10.12987\/9780300252392"},{"key":"3352_CR14","doi-asserted-by":"publisher","unstructured":"De-Arteaga M, Romanov A, Wallach H et\u00a0al (2019) Bias in bios: a case study of semantic representation bias in a high-stakes setting. In: Proceedings of the 2019 ACM conference on fairness, accountability, and transparency (FAT* \u201919). Association for Computing Machinery, Atlanta, GA, USA, pp 120\u2013128. https:\/\/doi.org\/10.1145\/3287560.3287572","DOI":"10.1145\/3287560.3287572"},{"key":"3352_CR15","doi-asserted-by":"publisher","first-page":"40","DOI":"10.17351\/ests2019.260","volume":"5","author":"MC Elish","year":"2019","unstructured":"Elish MC (2019) Moral crumple zones: cautionary tales in human\u2013robot interaction. Technol Soc 5:40\u201360. https:\/\/doi.org\/10.17351\/ests2019.260.","journal-title":"Engaging Science, Technology, and Society"},{"key":"3352_CR16","volume-title":"Automating inequality: how high-tech tools profile, police, and punish the poor","author":"V Eubanks","year":"2018","unstructured":"Eubanks V (2018) Automating inequality: how high-tech tools profile, police, and punish the poor. St. Martin\u2019s Press, New York"},{"key":"3352_CR17","unstructured":"European Union (2024) Regulation (EU) 2024\/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300\/2008, (EU) No 167\/2013, (EU) No 168\/2013, (EU) 2018\/858, (EU) 2018\/1139 and (EU) 2019\/2144 and Directives 2014\/90\/EU, (EU) 2016\/797 and (EU) 2020\/1828 (Artificial Intelligence Act). https:\/\/eur-lex.europa.eu\/eli\/reg\/2024\/1689\/oj. Accessed 14 Nov 2025"},{"key":"3352_CR18","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1007\/s11023-018-9482-5","volume":"28","author":"L Floridi","year":"2018","unstructured":"Floridi L, Cowls J, Beltrametti M et al (2018) AI4People\u2014an ethical framework for a good AI society: opportunities, risks, principles, and recommendations. Minds Mach 28:689\u2013707. https:\/\/doi.org\/10.1007\/s11023-018-9482-5","journal-title":"Minds Mach"},{"issue":"7","key":"3352_CR19","doi-asserted-by":"publisher","first-page":"e438","DOI":"10.1016\/S2589-7500(24)00090-6","volume":"6","author":"M Gaetani","year":"2024","unstructured":"Gaetani M, Mazwi M, Balaci H et al (2024) Artificial intelligence in medicine and the pursuit of environmentally responsible science. Lancet Digit Health 6(7):e438\u2013e440. https:\/\/doi.org\/10.1016\/S2589-7500(24)00090-6","journal-title":"Lancet Digit Health"},{"key":"3352_CR20","unstructured":"Gobeyond.ai (2025) How JPMorgan uses COIN AI to automate contract analysis and revolutionize legal document processing. https:\/\/www.gobeyond.ai\/ai-resources\/case-studies\/jpmorgan-coin-ai-contract-analysis-legal-docs. Accessed 14 Nov 2025."},{"key":"3352_CR21","unstructured":"Hendrycks D, Burns C, Basart S et\u00a0al (2021) Aligning AI with shared human values. In: International conference on learning representations. https:\/\/openreview.net\/forum?id=dNy_RKzJacY. Accessed 14 Nov 2025."},{"key":"3352_CR22","doi-asserted-by":"publisher","unstructured":"Holstein K, Wortman\u00a0Vaughan J, Daum\u00e9\u00a0III H et\u00a0al (2019) Improving fairness in machine learning systems: what do industry practitioners need? In: Proceedings of the 2019 CHI conference on human factors in computing systems, pp 1\u201316. https:\/\/doi.org\/10.1145\/3290605.3300830","DOI":"10.1145\/3290605.3300830"},{"issue":"4","key":"3352_CR23","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1016\/j.bushor.2018.03.007","volume":"61","author":"MH Jarrahi","year":"2018","unstructured":"Jarrahi MH (2018) Artificial intelligence and the future of work: human\u2013AI symbiosis in organizational decision making. Bus Horiz 61(4):577\u2013586. https:\/\/doi.org\/10.1016\/j.bushor.2018.03.007","journal-title":"Bus Horiz"},{"key":"3352_CR24","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X22001157","volume":"46","author":"SGB Johnson","year":"2023","unstructured":"Johnson SGB, Bilovich A, Tuckett D (2023) Conviction narrative theory: a theory of choice under radical uncertainty. Behav Brain Sci 46:e82. https:\/\/doi.org\/10.1017\/S0140525X22001157","journal-title":"Behav Brain Sci"},{"issue":"7815","key":"3352_CR25","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1038\/d41586-020-02003-2","volume":"583","author":"P Kalluri","year":"2020","unstructured":"Kalluri P (2020) Don\u2019t ask if artificial intelligence is good or fair, ask how it shifts power. Nature 583(7815):169. https:\/\/doi.org\/10.1038\/d41586-020-02003-2","journal-title":"Nature"},{"key":"3352_CR26","doi-asserted-by":"crossref","unstructured":"Kay J, Kasirzadeh A, Mohamed S (2024) Epistemic injustice in generative AI. In: Proceedings of the AAAI\/ACM conference on AI, ethics, and society. https:\/\/ojs.aaai.org\/index.php\/AIES\/article\/view\/31671. Accessed 14 Nov 2025.","DOI":"10.1609\/aies.v7i1.31671"},{"issue":"5","key":"3352_CR27","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1257\/aer.p20151023","volume":"105","author":"J Kleinberg","year":"2015","unstructured":"Kleinberg J, Ludwig J, Mullainathan S et al (2015) Prediction policy problems. Am Econ Rev 105(5):491\u2013495. https:\/\/doi.org\/10.1257\/aer.p20151023","journal-title":"Am Econ Rev"},{"key":"3352_CR28","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2025.1440582","author":"N Kondylidis","year":"2025","unstructured":"Kondylidis N, Tiddi I, ten Teije A (2025) A framework for establishing shared, task-oriented understanding in hybrid open multi-agent systems. Front Artif Intell. https:\/\/doi.org\/10.3389\/frai.2025.1440582","journal-title":"Front Artif Intell"},{"key":"3352_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.techsoc.2021.101688","volume":"67","author":"PD K\u00f6nig","year":"2021","unstructured":"K\u00f6nig PD, Wenzelburger G (2021) The legitimacy gap of algorithmic decision-making in the public sector: why it arises and how to address it. Technol Soc 67:101688. https:\/\/doi.org\/10.1016\/j.techsoc.2021.101688","journal-title":"Technol Soc"},{"issue":"2133","key":"3352_CR30","doi-asserted-by":"publisher","first-page":"20180084","DOI":"10.1098\/rsta.2018.0084","volume":"376","author":"J Kroll","year":"2018","unstructured":"Kroll J (2018) The fallacy of inscrutable black boxes. Philos Trans R Soc A 376(2133):20180084. https:\/\/doi.org\/10.1098\/rsta.2018.0084","journal-title":"Philos Trans R Soc A"},{"issue":"8","key":"3352_CR31","doi-asserted-by":"publisher","first-page":"936","DOI":"10.1016\/S1470-2045(23)00298-X","volume":"24","author":"K L\u00e5ng","year":"2023","unstructured":"L\u00e5ng K, Josefsson V, Larsson AM et al (2023) Artificial intelligence-supported screen reading versus standard double reading in the mammography screening with artificial intelligence (MASAI) trial: a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study. Lancet Oncol 24(8):936\u2013944. https:\/\/doi.org\/10.1016\/S1470-2045(23)00298-X","journal-title":"Lancet Oncol"},{"key":"3352_CR32","unstructured":"Leit\u00e3o D, Saleiro P, Figueiredo M (2022) Human\u2013AI collaboration in decision-making: beyond learning to defer. arXiv:2206.13202"},{"key":"3352_CR33","doi-asserted-by":"publisher","unstructured":"Leslie D (2019) Understanding artificial intelligence ethics and safety: a guide for the responsible design and implementation of AI systems in the public sector. Technical report, The Alan Turing Institute. https:\/\/doi.org\/10.5281\/zenodo.3240529","DOI":"10.5281\/zenodo.3240529"},{"issue":"2","key":"3352_CR34","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1111\/1467-8551.12781","volume":"35","author":"D Lindebaum","year":"2024","unstructured":"Lindebaum D, Fleming P (2024) ChatGPT undermines human reflexivity, scientific responsibility and responsible management research. Br J Manag 35(2):566\u2013575. https:\/\/doi.org\/10.1111\/1467-8551.12781","journal-title":"Br J Manag"},{"issue":"CSCW1","key":"3352_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3449180","volume":"5","author":"H Lyons","year":"2021","unstructured":"Lyons H, Velloso E, Miller T (2021) Conceptualising contestability: perspectives on contesting algorithmic decisions. Proc ACM Hum Comput Interact 5(CSCW1):1\u201325. https:\/\/doi.org\/10.1145\/3449180","journal-title":"Proc ACM Hum Comput Interact"},{"issue":"3","key":"3352_CR36","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1108\/JOEPP-03-2025-0193","volume":"13","author":"H Mackenzie","year":"2025","unstructured":"Mackenzie H (2025) Artificial intelligence and organisational change: a social complexity perspective. J Organ Eff People Perform 13(3):637\u2013652. https:\/\/doi.org\/10.1108\/JOEPP-03-2025-0193","journal-title":"J Organ Eff People Perform"},{"key":"3352_CR37","doi-asserted-by":"publisher","unstructured":"National Institute of Standards and Technology (2023) Artificial intelligence risk management framework (AI RMF 1.0). https:\/\/doi.org\/10.6028\/NIST.AI.100-1","DOI":"10.6028\/NIST.AI.100-1"},{"key":"3352_CR38","doi-asserted-by":"publisher","first-page":"1703","DOI":"10.1007\/s00146-021-01263-4","volume":"37","author":"M Nordstr\u00f6m","year":"2022","unstructured":"Nordstr\u00f6m M (2022) AI under great uncertainty: implications and decision strategies for public policy. AI Soc 37:1703\u20131714. https:\/\/doi.org\/10.1007\/s00146-021-01263-4","journal-title":"AI Soc"},{"key":"3352_CR39","unstructured":"OECD (2019) OECD principles on artificial intelligence. https:\/\/oecd.ai\/en\/ai-principles. Accessed 14 Nov 2025"},{"issue":"3","key":"3352_CR40","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1016\/j.bushor.2020.01.003","volume":"63","author":"J Paschen","year":"2020","unstructured":"Paschen J, Wilson M, Ferreira JJ (2020) Collaborative intelligence: how human and artificial intelligence create value along the B2B sales funnel. Bus Horiz 63(3):403\u2013414. https:\/\/doi.org\/10.1016\/j.bushor.2020.01.003","journal-title":"Bus Horiz"},{"key":"3352_CR41","doi-asserted-by":"publisher","DOI":"10.4159\/harvard.9780674736061","volume-title":"The black box society: the secret algorithms that control money and information","author":"F Pasquale","year":"2015","unstructured":"Pasquale F (2015) The black box society: the secret algorithms that control money and information. Harvard University Press, Cambridge"},{"key":"3352_CR42","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s12599-023-00787-x","volume":"65","author":"J Pfeiffer","year":"2023","unstructured":"Pfeiffer J, Gutschow J, Haas C et al (2023) Algorithmic fairness in AI. Bus Inf Syst Eng 65:209\u2013222. https:\/\/doi.org\/10.1007\/s12599-023-00787-x","journal-title":"Bus Inf Syst Eng"},{"issue":"1","key":"3352_CR43","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s10676-017-9430-8","volume":"20","author":"I Rahwan","year":"2018","unstructured":"Rahwan I (2018) Society-in-the-loop: programming the algorithmic social contract. Ethics Inf Technol 20(1):5\u201314. https:\/\/doi.org\/10.1007\/s10676-017-9430-8","journal-title":"Ethics Inf Technol"},{"key":"3352_CR44","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1038\/s41586-019-1138-y","volume":"568","author":"I Rahwan","year":"2019","unstructured":"Rahwan I, Cebrian M, Obradovich N et al (2019) Machine behaviour. Nature 568:477\u2013486. https:\/\/doi.org\/10.1038\/s41586-019-1138-y","journal-title":"Nature"},{"key":"3352_CR45","doi-asserted-by":"publisher","unstructured":"Raji ID, Smart A, White RN et\u00a0al (2020) Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing. In: Proceedings of the 2020 conference on fairness, accountability, and transparency, pp 33\u201344. https:\/\/doi.org\/10.1145\/3351095.3372873","DOI":"10.1145\/3351095.3372873"},{"key":"3352_CR46","doi-asserted-by":"publisher","unstructured":"Reuel A, Undheim TA (2024) Generative AI needs adaptive governance. arXiv preprint arXiv:2406.04554. https:\/\/doi.org\/10.48550\/arXiv.2406.04554","DOI":"10.48550\/arXiv.2406.04554"},{"key":"3352_CR47","volume-title":"Human compatible: artificial intelligence and the problem of control","author":"S Russell","year":"2019","unstructured":"Russell S (2019) Human compatible: artificial intelligence and the problem of control. Viking, New York"},{"key":"3352_CR48","doi-asserted-by":"publisher","unstructured":"Selbst AD, boyd d, Friedler SA et\u00a0al (2019) Fairness and abstraction in sociotechnical systems. In: Proceedings of the 2019 ACM conference on fairness, accountability, and transparency, FAT* \u201919. Association for Computing Machinery, Atlanta, GA, USA, pp 59\u201368. https:\/\/doi.org\/10.1145\/3287560.3287598","DOI":"10.1145\/3287560.3287598"},{"issue":"6","key":"3352_CR49","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1080\/10447318.2020.1741118","volume":"36","author":"B Shneiderman","year":"2020","unstructured":"Shneiderman B (2020) Human-centered artificial intelligence: reliable, safe and trustworthy. Int J Hum Comput Interact 36(6):495\u2013504. https:\/\/doi.org\/10.1080\/10447318.2020.1741118","journal-title":"Int J Hum Comput Interact"},{"key":"3352_CR50","doi-asserted-by":"publisher","unstructured":"Suresh H, Guttag JV (2021) A framework for understanding sources of unintended consequences of machine learning life cycle. In: FAccT \u201921: ACM conference on fairness, accountability, and transparency. Association for Computing Machinery, New York, NY, USA, p 743. https:\/\/doi.org\/10.1145\/3465416.3483305","DOI":"10.1145\/3465416.3483305"},{"key":"3352_CR51","unstructured":"Sutton R (2019) The bitter lesson. http:\/\/www.incompleteideas.net\/IncIdeas\/BitterLesson.html. Accessed 14 Nov 2025"},{"key":"3352_CR52","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1038\/s41591-018-0300-7","volume":"25","author":"E Topol","year":"2019","unstructured":"Topol E (2019) High-performance medicine: the convergence of human and artificial intelligence. Nat Med 25:44\u201356. https:\/\/doi.org\/10.1038\/s41591-018-0300-7","journal-title":"Nat Med"},{"key":"3352_CR53","unstructured":"UNESCO (2021) Recommendation on the ethics of artificial intelligence. https:\/\/unesdoc.unesco.org\/ark:\/48223\/pf0000381137. Adopted 23 November 2021. Accessed 14 Nov 2025"},{"key":"3352_CR54","doi-asserted-by":"publisher","DOI":"10.3389\/fcomp.2025.1672735","author":"N Wang","year":"2025","unstructured":"Wang N, Kim H, Peng J et al (2025) Exploring creativity in human\u2013AI co-creation: a comparative study across design experience. Front Comput Sci. https:\/\/doi.org\/10.3389\/fcomp.2025.1672735","journal-title":"Front Comput Sci"},{"key":"3352_CR55","doi-asserted-by":"publisher","unstructured":"Weidinger L et\u00a0al (2022) Ethical and social risks of foundation models. arXiv preprint arXiv:2112.04359. https:\/\/doi.org\/10.48550\/arXiv.2112.04359","DOI":"10.48550\/arXiv.2112.04359"},{"key":"3352_CR56","doi-asserted-by":"publisher","unstructured":"Whittlestone J, Nyrup R, Alexandrova A et\u00a0al (2019) The role and limits of principles in AI ethics: towards a focus on tensions. In: Proceedings of the 2019 AAAI\/ACM conference on AI, ethics, and society, AIES \u201919. Association for Computing Machinery, New York, NY, USA, pp 195\u2013200. https:\/\/doi.org\/10.1145\/3306618.3314289","DOI":"10.1145\/3306618.3314289"}],"container-title":["AI &amp; SOCIETY"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00146-026-03352-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00146-026-03352-8","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00146-026-03352-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T17:21:02Z","timestamp":1791048062000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00146-026-03352-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,3]]},"references-count":56,"alternative-id":["3352"],"URL":"https:\/\/doi.org\/10.1007\/s00146-026-03352-8","relation":{},"ISSN":["0951-5666","1435-5655"],"issn-type":[{"value":"0951-5666","type":"print"},{"value":"1435-5655","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,3]]},"assertion":[{"value":"13 December 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 August 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 October 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Declarations"}}]}}