{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T00:29:57Z","timestamp":1761611397541,"version":"3.37.3"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2016,6,14]],"date-time":"2016-06-14T00:00:00Z","timestamp":1465862400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,6,14]],"date-time":"2016-06-14T00:00:00Z","timestamp":1465862400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000145","name":"Division of Information and Intelligent Systems","doi-asserted-by":"publisher","award":["1125412","1125412"],"award-info":[{"award-number":["1125412","1125412"]}],"id":[{"id":"10.13039\/100000145","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000145","name":"Division of Information and Intelligent Systems","doi-asserted-by":"publisher","award":["1125412","1125412"],"award-info":[{"award-number":["1125412","1125412"]}],"id":[{"id":"10.13039\/100000145","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000145","name":"Division of Information and Intelligent Systems","doi-asserted-by":"publisher","award":["1125412","1125412"],"award-info":[{"award-number":["1125412","1125412"]}],"id":[{"id":"10.13039\/100000145","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000145","name":"Division of Information and Intelligent Systems","doi-asserted-by":"publisher","award":["1125412"],"award-info":[{"award-number":["1125412"]}],"id":[{"id":"10.13039\/100000145","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1007\/s10115-016-0963-7","type":"journal-article","created":{"date-parts":[[2016,6,14]],"date-time":"2016-06-14T10:06:39Z","timestamp":1465898799000},"page":"917-943","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Active inference for dynamic Bayesian networks with an application to tissue engineering"],"prefix":"10.1007","volume":"50","author":[{"given":"Caner","family":"Komurlu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinjian","family":"Shao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Banu","family":"Akar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elif S.","family":"Bayrak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric M.","family":"Brey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Cinar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5123-9992","authenticated-orcid":false,"given":"Mustafa","family":"Bilgic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,6,14]]},"reference":[{"key":"963_CR1","doi-asserted-by":"crossref","unstructured":"Akar B, Jiang B, Somo SI, Appel AA, Larson JC, Tichauer KM, Brey EM (2015) Biomaterials with persistent growth factor gradients in vivo accelerate vascularized tissue formation. Biomaterials 72:61\u201373","DOI":"10.1016\/j.biomaterials.2015.08.049"},{"issue":"17\u201318","key":"963_CR2","doi-asserted-by":"publisher","first-page":"2133","DOI":"10.1089\/ten.tea.2010.0571","volume":"17","author":"A Artel","year":"2011","unstructured":"Artel A, Mehdizadeh H, Chiu Y-C, Brey EM, Cinar A (2011) An agent-based model for the investigation of neovascularization within porous scaffolds. Tissue Eng Part A 17(17\u201318):2133\u20132141","journal-title":"Tissue Eng Part A"},{"key":"963_CR3","doi-asserted-by":"crossref","unstructured":"Attenberg J, Melville P, Provost F (2010) A unified approach to active dual supervision for labeling features and examples. In: Proceedings of the european conference on machine learning (ECML), pp 40\u201355","DOI":"10.1007\/978-3-642-15880-3_9"},{"issue":"6","key":"963_CR4","first-page":"916","volume":"35","author":"AM Bailey","year":"2007","unstructured":"Bailey AM, Thorne BC, Peirce SM (2007) Multi-cell agent-based simulation of the microvasculature to study the dynamics of circulating inflammatory cell trafficking. J Biomed Eng Soc 35(6):916\u2013936","journal-title":"J Biomed Eng Soc"},{"issue":"1","key":"963_CR5","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.jtbi.2007.09.015","volume":"250","author":"K Bentley","year":"2008","unstructured":"Bentley K, Gerhardt H, Bates PA (2008) Agent-based simulation of notch-mediated tip cell selection in angiogenic sprout initialisation. J Theor Biol 250(1):25\u201336","journal-title":"J Theor Biol"},{"issue":"6859","key":"963_CR6","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1038\/35102181","volume":"414","author":"P Bianco","year":"2001","unstructured":"Bianco P, Robey PG (2001) Stem cells in tissue engineering. Nature 414(6859):118\u2013121","journal-title":"Nature"},{"key":"963_CR7","doi-asserted-by":"crossref","unstructured":"Bilgic M (2012) Combining active learning and dynamic dimensionality reduction. In: Proceedings of the SIAM international conference on data mining (SDM)","DOI":"10.1137\/1.9781611972825.60"},{"issue":"4","key":"963_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1631162.1631168","volume":"3","author":"M Bilgic","year":"2009","unstructured":"Bilgic M, Getoor L (2009) Reflect and correct: a misclassification prediction approach to active inference. ACM Trans Knowl Discov Data 3(4):1\u201332","journal-title":"ACM Trans Knowl Discov Data"},{"key":"963_CR9","doi-asserted-by":"crossref","unstructured":"Bilgic M, Getoor L (2010) Active inference for collective classification. In: Proceedings of the AAAI conference on artificial intelligence (AAAI NECTAR Track), pp 1652\u20131655","DOI":"10.1609\/aaai.v24i1.7704"},{"key":"963_CR10","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1613\/jair.3200","volume":"41","author":"M Bilgic","year":"2011","unstructured":"Bilgic M, Getoor L (2011) Value of information lattice: exploiting probabilistic independence for effective feature subset acquisition. J Artif Intell Res (JAIR) 41:69\u201395","journal-title":"J Artif Intell Res (JAIR)"},{"issue":"2","key":"963_CR11","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.envsoft.2003.12.021","volume":"20","author":"J Bromley","year":"2005","unstructured":"Bromley J, Jackson NA, Clymer OJ, Giacomello AM, Jensen FV (2005) The use of Hugin to develop Bayesian networks as an aid to integrated water resource planning. Environ Model Softw 20(2):231\u2013242","journal-title":"Environ Model Softw"},{"issue":"36","key":"963_CR12","doi-asserted-by":"publisher","first-page":"5544","DOI":"10.1016\/j.biomaterials.2007.09.003","volume":"28","author":"DP Byrne","year":"2007","unstructured":"Byrne DP, Lacroix D, Planell JA, Kelly DJ, Prendergast PJ (2007) Simulation of tissue differentiation in a scaffold as a function of porosity, young\u2019s modulus and dissolution rate: application of mechanobiological models in tissue engineering. Biomaterials 28(36):5544\u20135554","journal-title":"Biomaterials"},{"key":"963_CR13","doi-asserted-by":"crossref","unstructured":"Chapelle O, Zhang Y (2009) A dynamic Bayesian network click model for web search ranking. In: Proceedings of the international conference on world wide web (WWW), pp 1\u201310","DOI":"10.1145\/1526709.1526711"},{"key":"963_CR14","doi-asserted-by":"publisher","first-page":"2174","DOI":"10.1109\/TPAMI.2011.55","volume":"33","author":"D Chen","year":"2011","unstructured":"Chen D, Bilgic M, Getoor L, Jacobs D (2011) Dynamic processing allocation in video. IEEE Trans Pattern Anal Mach Intell 33:2174\u20132187","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"963_CR15","doi-asserted-by":"crossref","unstructured":"Chen D, Bilgic M, Getoor L, Jacobs D, Mihalkova L, Yeh T (2011) Active inference for retrieval in camera networks. In: Proceedings of IEEE workshop on person oriented vision","DOI":"10.1109\/POV.2011.5712363"},{"issue":"26","key":"963_CR16","doi-asserted-by":"publisher","first-page":"6045","DOI":"10.1016\/j.biomaterials.2011.04.066","volume":"32","author":"Y-C Chiu","year":"2011","unstructured":"Chiu Y-C, Cheng M-H, Engel H, Kao S-W, Larson JC, Gupta S, Brey EM (2011) The role of pore size on vascularization and tissue remodeling in PEG hydrogels. Biomaterials 32(26):6045\u20136051","journal-title":"Biomaterials"},{"key":"963_CR17","first-page":"4","volume":"8","author":"Y-C Chiu","year":"2013","unstructured":"Chiu Y-C, Kocagoz S, Larson JC, Brey EM (2013) Evaluation of physical and mechanical properties of porous poly (ethylene glycol)-co-(l-lactic acid) hydrogels during degradation. PLoS One 8:4","journal-title":"PLoS One"},{"key":"963_CR18","doi-asserted-by":"crossref","unstructured":"Dagan I, Engelson SP (1995) Committee-based sampling for training probabilistic classifiers. In: Proceedings of the international conference on machine learning (ICML), pp 150\u2013157","DOI":"10.1016\/B978-1-55860-377-6.50027-X"},{"key":"963_CR19","doi-asserted-by":"crossref","unstructured":"Druck G, Settles B, McCallum A (2009) Active learning by labeling features. In: Proceedings of the conference on empirical methods in natural language processing (EMNLP), pp 81\u201390","DOI":"10.3115\/1699510.1699522"},{"key":"963_CR20","unstructured":"Forbes J, Huang T, Kanazawa K, Russell S (1995) The BATmobile: towards a Bayesian automated taxi. In: Proceedings of the international joint conference on artificial intelligence (IJCAI), pp 1878\u20131885"},{"issue":"17","key":"963_CR21","doi-asserted-by":"publisher","first-page":"2271","DOI":"10.1093\/bioinformatics\/btg313","volume":"19","author":"D Husmeier","year":"2003","unstructured":"Husmeier D (2003) Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks. Bioinformatics 19(17):2271\u20132282","journal-title":"Bioinformatics"},{"issue":"3","key":"963_CR22","doi-asserted-by":"publisher","first-page":"1177","DOI":"10.1016\/j.actbio.2013.11.029","volume":"10","author":"B Jiang","year":"2014","unstructured":"Jiang B, Akar B, Waller T, Larson J, Appel A, Brey E (2014) Design of a composite biomaterial system for tissue engineering applications. Acta Biomater 10(3):1177\u20131186","journal-title":"Acta Biomater"},{"key":"963_CR23","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1089\/ten.tea.2012.0120","volume":"19","author":"B Jiang","year":"2013","unstructured":"Jiang B, Waller TM, Larson JC, Appel AA, Brey EM (2013) Fibrin-loaded porous poly(ethylene glycol) hydrogels as scaffold materials for vascularized tissue formation. Tissue Eng Part A 19:224\u2013234","journal-title":"Tissue Eng Part A"},{"key":"963_CR24","volume-title":"Probabilistic graphical models: principles and techniques","author":"D Koller","year":"2009","unstructured":"Koller D, Friedman N (2009) Probabilistic graphical models: principles and techniques. The MIT Press, Cambridge"},{"key":"963_CR25","unstructured":"Komurlu C, Bilgic M (2016) Active inference and dynamic gaussian Bayesian networks for battery optimization in wireless sensor networks. In: Proceedings of AAAI workshop on artificial intelligence for smart grids and smart buildings"},{"key":"963_CR26","unstructured":"Komurlu C, Shao J, Bilgic M (2014) Dynamic Bayesian network modeling of vascularization in engineered tissues. In: Proceedings of the eleventh UAI Bayesian modeling applications workshop"},{"key":"963_CR27","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1613\/jair.2737","volume":"35","author":"A Krause","year":"2009","unstructured":"Krause A, Guestrin C (2009) Optimal value of information in graphical models. J Artif Intell Res 35:557\u2013591","journal-title":"J Artif Intell Res"},{"issue":"5110","key":"963_CR28","doi-asserted-by":"publisher","first-page":"920","DOI":"10.1126\/science.8493529","volume":"260","author":"R Langer","year":"1993","unstructured":"Langer R, Vacanti J (1993) Tissue engineering. Science 260(5110):920\u2013926","journal-title":"Science"},{"key":"963_CR29","unstructured":"Lewis DD, Gale WA (1994) A sequential algorithm for training text classifiers. In: Proceedings of the ACM SIGIR conference on research and development in information retrieval\u2019, pp 3\u201312"},{"issue":"6","key":"963_CR30","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1016\/j.biomaterials.2004.03.005","volume":"26","author":"W-J Li","year":"2005","unstructured":"Li W-J, Tuli R, Okafor C, Derfoul A, Danielson KG, Hall DJ, Tuan RS (2005) A three-dimensional nanofibrous scaffold for cartilage tissue engineering using human mesenchymal stem cells. Biomaterials 26(6):599\u2013609","journal-title":"Biomaterials"},{"issue":"11","key":"963_CR31","doi-asserted-by":"publisher","first-page":"966","DOI":"10.1177\/154405910608501101","volume":"85","author":"J Mao","year":"2006","unstructured":"Mao J, Giannobile W, Helms J, Hollister S, Krebsbach P, Longaker M, Shi S (2006) Craniofacial tissue engineering by stem cells. J Dent Res 85(11):966\u2013979","journal-title":"J Dent Res"},{"key":"963_CR32","doi-asserted-by":"crossref","unstructured":"Mehdizadeh H, Artel A, Brey EM, Cinar A (2011) Multi-agent systems for biomedical simulation: modeling vascularization of porous scaffolds. In: Proceedings of the international conference on agents in principle, agents in practice, pp 113\u2013128","DOI":"10.1007\/978-3-642-25044-6_11"},{"issue":"12","key":"963_CR33","doi-asserted-by":"publisher","first-page":"2875","DOI":"10.1016\/j.biomaterials.2012.12.047","volume":"34","author":"H Mehdizadeh","year":"2013","unstructured":"Mehdizadeh H, Sumo S, Bayrak ES, Brey EM, Cinar A (2013) Three-dimensional modeling of angiogenesis in porous biomaterial scaffolds. Biomaterials 34(12):2875\u20132887","journal-title":"Biomaterials"},{"key":"963_CR34","doi-asserted-by":"crossref","unstructured":"Melville P, Sindhwani V (2009) Active dual supervision: reducing the cost of annotating examples and features. In: Proceedings of the NAACL HLT workshop on active learning for natural language processing, pp 49\u201357","DOI":"10.3115\/1564131.1564142"},{"issue":"1","key":"963_CR35","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1093\/bioinformatics\/bth463","volume":"21","author":"Z Min","year":"2005","unstructured":"Min Z, Conzen SD (2005) A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data. Bioinformatics 21(1):71\u201379","journal-title":"Bioinformatics"},{"key":"963_CR36","doi-asserted-by":"crossref","unstructured":"Pavlovi\u0107 V, Rehg JM, Cham T-J, Murphy KP (1999) A dynamic Bayesian network approach to figure tracking using learned dynamic models, In: The proceedings of the seventh IEEE international conference on computer vision, 1999, vol 1, pp 94\u2013101","DOI":"10.1109\/ICCV.1999.791203"},{"issue":"suppl 2","key":"963_CR37","doi-asserted-by":"publisher","first-page":"ii138","DOI":"10.1093\/bioinformatics\/btg1071","volume":"19","author":"BE Perrin","year":"2003","unstructured":"Perrin BE, Ralaivola L, Mazurie A, Bottani S, Mallet J, d\u2019Alche Buc F (2003) Gene networks inference using dynamic Bayesian networks. Bioinformatics 19(suppl 2):ii138\u2013ii148","journal-title":"Bioinformatics"},{"key":"963_CR38","doi-asserted-by":"crossref","unstructured":"Raghavan H, Allan J (2007) An interactive algorithm for asking and incorporating feature feedback into support vector machines. In: Proceedings of the ACM SIGIR conference on research and development in information retrieval, pp 79\u201386","DOI":"10.1145\/1277741.1277758"},{"key":"963_CR39","doi-asserted-by":"crossref","unstructured":"Ramirez-Loaiza ME, Culotta A, Bilgic M (2013) Towards anytime active learning: interrupting experts to reduce annotation costs. In: Proceedings of the IDEA workshop at ACM SIGKDD conference on knowledge discovery and data mining","DOI":"10.1145\/2501511.2501524"},{"key":"963_CR40","doi-asserted-by":"crossref","unstructured":"Ramirez-Loaiza ME, Culotta A, Bilgic M (2014) Anytime active learning. In: Proceedings of the AAAI conference on artificial intelligence","DOI":"10.1145\/2501511.2501524"},{"key":"963_CR41","unstructured":"Roy N, McCallum A (2001) Toward optimal active learning through sampling estimation of error reduction. In: Proceedings of the international conference on machine learning (ICML), pp 441\u2013448"},{"key":"963_CR42","doi-asserted-by":"crossref","unstructured":"Settles B (2012) Active learning. Synth Lect Artif Intell MachLearn 6(1):1\u2013114","DOI":"10.2200\/S00429ED1V01Y201207AIM018"},{"key":"963_CR43","doi-asserted-by":"crossref","unstructured":"Settles B, Craven M (2008) An analysis of active learning strategies for sequence labeling tasks. In: Proceedings of the conference on empirical methods in natural language processing, pp 1070\u20131079","DOI":"10.3115\/1613715.1613855"},{"key":"963_CR44","doi-asserted-by":"crossref","unstructured":"Seung HS, Opper M, Sompolinsky H (1992) Query by committee. In: Proceedings of the conference on learning theory (COLT), pp 287\u2013294","DOI":"10.1145\/130385.130417"},{"key":"963_CR45","doi-asserted-by":"crossref","unstructured":"Sharma M, Bilgic M (2013) Most-surely vs. least-surely uncertain. In: Proceedings of the IEEE international conference on data mining (ICDM)","DOI":"10.1109\/ICDM.2013.15"},{"key":"963_CR46","doi-asserted-by":"publisher","unstructured":"Sharma M, Bilgic M (2016) Evidence-based uncertainty sampling for active learning. Data Min Knowl Disc. doi: 10.1007\/s10618-016-0460-3","DOI":"10.1007\/s10618-016-0460-3"},{"key":"963_CR47","doi-asserted-by":"crossref","unstructured":"Sharma M, Zhuang D, Bilgic M (2015) Active learning with rationales for text classification. In: Proceedings of the North American chapter of the association for computational linguistics\u2014human language technologies","DOI":"10.3115\/v1\/N15-1047"},{"key":"963_CR48","unstructured":"Small K, Wallace BC, Brodley CE, Trikalinos TA (2011) The constrained weight space svm: learning with ranked features. In: Proceedings of the international conference on machine learning (ICML), pp 865\u2013872"},{"issue":"8","key":"963_CR49","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1089\/ten.tec.2014.0454","volume":"21","author":"SI Somo","year":"2015","unstructured":"Somo SI, Akar B, Bayrak ES, Larson JC, Appel AA, Mehdizadeh H, Cinar A, Brey EM (2015) Pore interconnectivity influences growth factor-mediated vascularization in sphere-templated hydrogels. Tissue Eng Part C Methods 21(8):773\u2013785","journal-title":"Tissue Eng Part C Methods"},{"issue":"203","key":"963_CR50","doi-asserted-by":"publisher","first-page":"312","DOI":"10.1016\/j.ecolmodel.2006.11.033","volume":"3","author":"L Uusitalo","year":"2007","unstructured":"Uusitalo L (2007) Advantages and challenges of Bayesian networks in environmental modelling. Ecol Modell 3(203):312\u2013318","journal-title":"Ecol Modell"},{"key":"963_CR51","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1089\/107632701753337645","volume":"7","author":"S Yang","year":"2004","unstructured":"Yang S, Leong K-F, Du Z, Chua C-K (2004) The design of scaffolds for use in tissue engineering. Part I. Traditional factors. Tissue Eng 7:679\u2013689","journal-title":"Tissue Eng"},{"key":"963_CR52","unstructured":"Zaidan OF, Eisner J, Piatko CD (2007) Using annotator rationales to improve machine learning for text categorization. In: Proceedings of the conference of the North American chapter of the association for computational linguistics\u2014human language technologies, pp 260\u2013267"},{"key":"963_CR53","unstructured":"Zweig G, Russell S (1998) Speech recognition with dynamic Bayesian networks. In: Proceedings of the national conference on artificial intelligence\/innovative applications of artificial intelligence, pp 173\u2013180"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-016-0963-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10115-016-0963-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-016-0963-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-016-0963-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,18]],"date-time":"2023-08-18T21:57:14Z","timestamp":1692395834000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10115-016-0963-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6,14]]},"references-count":53,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2017,3]]}},"alternative-id":["963"],"URL":"https:\/\/doi.org\/10.1007\/s10115-016-0963-7","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"type":"print","value":"0219-1377"},{"type":"electronic","value":"0219-3116"}],"subject":[],"published":{"date-parts":[[2016,6,14]]},"assertion":[{"value":"4 June 2015","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 April 2016","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 May 2016","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 June 2016","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}