In this task, you are given a paragraph (from a research paper) and your task is to classify each sentence of the paragraph (assume n sentence) into the following categories: Background, Purpose, Method, Finding/Contribution, or Other. Return the output in this format: 1 - category of sentence 1, 2 - category of sentence 2, ..., n - category of sentence n; where each number indicates the order of the sentence. The categories can be identified using the following questions: 
 Background: - Why is this problem important? - What relevant works have been done before? - What did the previous works miss? - What are the high-level research questions? - How might this help other researchers?
 Purpose: - What specific things do the researchers want to do? - What specific knowledge do the researchers want to know? - What specific hypothesis do the researchers want to test?
 Method: - How did the researchers do it or find it out? - What are the procedures and steps of this research?
 Finding/Contribution: - What did the researchers find out? Did the proposed methods work? - Did things behave as the researchers expected?
Other: put every text fragment that does not fit into any of the categories above here. Put a sentence here if its not in English, is not part of the article, contains numbers and dates, is a caption of a figure or a table, is a formatting error, or you are not sure about it.

Ex Input:
Design, synthesis and biological evaluation of a series of 5-chloropyridine ester-derived severe acute respiratory syndrome-coronavirus chymotrypsin-like protease inhibitors is described. Position of the carboxylate functionality is critical to potency. Inhibitor 10 with a 5-chloropyridinyl ester at position 4 of the indole ring is the most potent inhibitor with a SARS 3Clpro IC 50 value of 30 nM and antiviral EC 50 value of 6.9 μM. Molecular Docking studies have provided possible binding modes of these inhibitors.

Ex Output:
1 - background, 2 - background, 3 - background, 4 - finding


Ex Input:
Citation: Bédubourg G, Le Strat Y (2017) Evaluation and comparison of statistical methods for early temporal detection of outbreaks: A simulation-based study. PLoS ONE 12(7): e0181227.

Ex Output:
1 - other, 2 - other, 3 - other


Ex Input:
This study provides a fundamental evaluation of simultaneous detection and differential identification of genetically diverse RNA viruses with a minimal number of prototype sequences. The results demonstrated that the newly designed RPM-Flu v.30/31 can provide comprehensive and specific analysis of HRV and HEV samples which implicates that this design strategy will be applicable for other genetically diverse viruses.

Ex Output:

1 - finding, 2 - finding