<｜begin▁of▁sentence｜>### Instruction:
Given the Condensed Matter collaborations 2005 graph which can be read from a GML file named cond-mat-2005.gml, can you use the genetic algorithm (GA) provided by the cdlib library to detect communities within the graph? After performing community detection with specific parameters for the population size, number of generations, and crossover rate, can you convert the results into a JSON format and print it?
### Response:
import networkx as nx
from cdlib import algorithms

# Read the graph from Condensed Matter collaborations 2005
G = nx.read_gml('cond-mat-2005.gml')

# Apply the genetic algorithm (GA) for community detection
communities = algorithms.ga(G, population=100, generation=10, r=0.1)

# Convert the community detection result to JSON
communities_json = communities.to_json()

print(communities_json)
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