What are the steps in Scite.ai to Review of the papers that have passed the filtering process?
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In Scite.ai, the review process involves several steps to ensure the quality and authenticity of papers that have passed the filtering process. Initially, the implementation of ethics review processes is crucial to anticipate and mitigate potential harms in AI research . Subsequently, a new approach to review filtering is introduced, where users determine the level of filtering based on a scoring system considering location-based check-in, receipt authenticity, and sentiment analysis . Machine learning techniques are then utilized to assess the quality of reviewers' reports, enhancing the evaluation process . Additionally, advancements in machine learning algorithms for spam filtering emphasize the importance of addressing concept drift and specific characteristics of the problem for effective filter design . These steps collectively contribute to a robust review process in Scite.ai, ensuring the credibility and reliability of selected papers.
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468 Citations | Not addressed in the paper. |
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20 Dec 2017 3 Citations | Not addressed in the paper. |
01 Dec 2016 | Not addressed in the paper. |
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