For the following graph object nodes, edges, and edges attributes output the most likely root cause category as either "Cybersecurity Threat", "Process Degradation", "Process Malfunction",:

nodes:  ['1_process_cyber_physical_anomaly', '2_collection', '3_execution', '4_consequential_cyber_activity', '5_physical_cont_anomaly', '6_command_and_control', '7_persistence', '8_persistence'] 

edges:  [('2_collection', '1_process_cyber_physical_anomaly'), ('3_execution', '2_collection'), ('4_consequential_cyber_activity', '3_execution'), ('5_physical_cont_anomaly', '2_collection'), ('6_command_and_control', '5_physical_cont_anomaly'), ('7_persistence', '4_consequential_cyber_activity'), ('8_persistence', '6_command_and_control')] 

edge attributes:  ['actor_was_target', 'actor_was_target', 'same_actor_same_process', 'actor_was_target', 'actor_was_target', 'actor_was_target', 'same_actor_same_process']

The number and underscore in the node name (e.g., "1_" represents) the order of the node. The nodes, edges, edge attributes are ordered.

Provide the category output with a confidence value from 0 to 100, and a reason. Provide the output only as: Category:Confidence:reason Make sure to only use capital letters in your entire response.
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