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.

Example Input: The video component of this article can be found at jove 15, 23 . The qRT-PCR-based assay described here can detect attachment events using as few as 20 plaque forming units (PFUs) of virus, which translates into an MOI of 0.0004 for a 48-well plate. Therefore, the strong sensitivity of the assay overcomes the requirement for high MOI as well as any virus labeling or concentration steps. Further, the assay can be i) adapted to measure virion endocytosis Journal of Visualized Experiments
Example Output: 1 - other, 2 - finding, 3 - finding, 4 - finding, 5 - finding

Example Input: Define the space of probability distributions on the action space (0 ≤ a i ≤ 1) [0, 1] as ([0, 1]). A mixed strategy profile σ (·) is a function that maps the state s ∈ {0, 1} n to the space of probability distributions on the actions space, i.e., σ i : {0, 1} n → ([0, 1]). The definition of a mixed MMPE strategy profile σ * := {σ * i : {0, 1} n → [0, 1]} is a distribution on the action space that satisfies the following, for all t = 1, 2, . . . , and i ∈ N ,
Example Output: 1 - method, 2 - method, 3 - method, 4 - method, 5 - method, 6 - method

Example Input: FilmArray Respiratory Panel (RP) (Idaho Technology, Inc., Salt Lake City, UT, USA) performance was retrospectively evaluated in respiratory samples collected from neonates in 2 reference neonatology units. Using the FilmArray RP assay, 121/152 (79.6%) samples were positive for at least 1 respiratory virus, while 31/ 152 (20.4%) were negative. FilmArray RP results were concordant in 68/72 (94.4%) respiratory samples tested with laboratory-developed real-time PCR assays, while in 4/72 (5.6%) samples, the FilmArray RP assay detected an additional virus (2 human rhinovirus/enterovirus and 2 bocavirus). In addition, FilmArray RP results for 70 of 80 (87.5%) respiratory samples tested were concordant with the Seegene Seeplex RV15® detection assay (Seegene, Inc., Seoul, South Korea), while 10/80 (12.5%) were discordant. The advantages of the FilmArray RP are the rapid detection of respiratory viruses (1 hour), the wide number of pathogens detectable in a single assay, and the reduced hands-on time.
Example Output:
1 - method, 2 - method, 3 - finding, 4 - finding, 5 - finding, 6 - finding, 7 - finding, 8 - finding, 9 - finding, 10 - finding, 11 - finding, 12 - finding

