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.

Input: Consider Input: Here we aim to investigate the importance of spillover transmission for explaining the number and the size of outbreaks. We propose a simple stochastic Susceptible-Infected-Recovered model with a recurrent infection of an incidental host from a reservoir (e.g. humans by a zoonotic species), considering two

Output: 1 - purpose, 2 - method


Input: Consider Input: Prism 7 software is used for statistical analysis. Student's t test was performed for twogroup analysis. Pearson's correlation coefficients were calculated. P values less than 0.05 were considered to be statistically significant.

Output: 1 - method, 2 - method, 3 - method, 4 - method


Input: Consider Input: Genetic sequences highly related to Bovine coronavirus (BCoV) were detected in fecal samples from Peruvian 1-3 week old alpaca crias located on six farms in Puno department, some of which shared pastures with cattle. A total of 60 samples were screened for coronavirus using a nested PCR amplification of a fragment of the RNA-dependent RNA polymerase (RdRp) gene. Sequences from 11 positive samples were highly similar to the Kakegawa, Quebec and Mebus BCoV strains (99.5-100.0%) and 99.2% identical to an alpaca Coronavirus (CoV) previously detected in the USA. The detection of genetic sequences related to BCoV from Peruvian alpaca crias suggests possible role of this virus on enteric disorders etiology in the High Andes.


Output: 1 - finding, 2 - finding, 3 - method, 4 - finding, 5 - finding, 6 - finding