In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?). ",

Example Input: Sentence: RODS automatically classifies the registration chief complaint from the visit into one of seven syndrome categories using Bayesian classifiers. 
 Section: method
Example Output: False

Example Input: Sentence: by diverting its intracellular traffic or by inhibiting its association with binding partners. 
 Section: background
Example Output: True

Example Input: Sentence: 2019-nCov M pro is a potential drug target to combat the virus. 
 Section: method
Example Output:
False