Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine Science in Biomedicine: Practicalities, Pitfalls and Potential   Machine Science, or Data-driven Research, is a new and interesting scientific
methodology that uses advanced computational techniques to identify, retrieve,
classify and analyse data in order to generate hypotheses and develop models.
In this paper we describe three recent biomedical Machine Science studies, and
use these to assess the current state of the art with specific emphasis on data
mining, data assessment, costs, limitations, skills and tool support.

27
The categories of this paper are: comp-gas
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
15
The categories of this paper are: nucl-ex