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 "name": "Streaming Secure Iot Data Dissemination With Blockchain And Transfer Learning Tech 3Aa07E3483",
 "text": "Secure IoT data dissemination with blockchain and transfer learning techniques presents the following source proposition: In smart applications, streaming IoT data is essential to building trust in sustainable IoT solutions. This proposition is pertinent to Kaal's source-bound claim that Leveraging the big data collected through Legal Tech solutions and blockchain applications in combination with machine learning produces more creative and faster tools, which in turn generates a surge of innovative platforms that disrupt the legal industry. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
 "author": {
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.4041.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "url": "https://www.semanticscholar.org/paper/623f2d100a5f95b755fff43a8f88e96848bb9b4a"
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  "citation": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, Legal Education in the Blockchain Revolution (2017). SSRN: https://ssrn.com/abstract=2939127",
  "paper": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, Legal Education in the Blockchain Revolution",
  "authors": [
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  "year": "2017",
  "ssrn": "https://ssrn.com/abstract=2939127",
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 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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