Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Correlation Classes on the Landscape: To What Extent is String Theory
  Predictive?   In light of recent discussions of the string landscape, it is essential to
understand the degree to which string theory is predictive. We argue that it is
unlikely that the landscape as a whole will exhibit unique correlations amongst
low-energy observables, but rather that different regions of the landscape will
exhibit different overlapping sets of correlations. We then provide a
statistical method for quantifying this degree of predictivity, and for
extracting statistical information concerning the relative sizes and overlaps
of the regions corresponding to these different correlation classes. Our method
is robust and requires no prior knowledge of landscape properties, and can be
applied to the landscape as a whole as well as to any relevant subset.

14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex
10
The categories of this paper are: q-bio
1
The categories of this paper are: cs
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
13
The categories of this paper are: quant-ph