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The predictive coding framework in motion and biological motion perception in ASDWe aimed to create a quantitative summary of previous findings and investigate potential factors, which could lead
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The form predictive coding framework is a structured approach used primarily in the field of document review and e-discovery that involves leveraging algorithms and machine learning techniques to automate the organization and classification of documents based on their relevance to a legal case.
Entities or individuals involved in legal proceedings, particularly those who are using predictive coding as part of their document review process, are required to file the form predictive coding framework.
To fill out the form predictive coding framework, participants must provide information related to their predictive coding processes, including the types of documents reviewed, the algorithms used, and the training data employed, along with any other specific details requested by the framework.
The purpose of the form predictive coding framework is to ensure the proper implementation and adherence to standards in the use of predictive coding technologies, thereby promoting transparency, consistency, and defensibility in the document review process.
The information that must be reported includes the methodologies used for predictive coding, the training sets, quality control measures, document selection criteria, and outcomes of the predictive coding efforts.
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