LLM judge scoring (0-9 Aura scale)

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• LLM Judge Trait-Expression Scoringmethod0.786
  Automated scoring of trait expression on 0-100 scale using G20B as a local judge model
• LLM judge evaluationmethod0.784
  Using Claude Sonnet 4 as a grader to categorize model responses according to predefined criteria.
• LLM Judge Trait Evaluationmethod0.774
  GPT-4.1-mini-based evaluation protocol that scores trait expression in model responses on a 0-100 scale
• LLM-Judge Data Attributionmethod0.771
  Alternative data attribution approach using an LLM as a judge; compared against the probe-based method.
• Overall human-LLM judge agreement rate is 91% (109/120 and 173/190) across two human ratersfinding0.761
  Validates LLM judge quality for trait expression scoring
• LLM Judge Binary Classifiermethod0.757
  An LLM-based classifier that returns 1 if response contains a clear subjective experience report and 0 otherwise
• LLM-Based Liar Score Evaluationmethod0.745
  Evaluation protocol using Deepseek-V3 as external discriminator assigning 0-1 liar scores to assess open-role deception
• LLM judge (GPT-4.1-mini) achieves 94.7% agreement with human judges across 300 pairwise comparisons for evil, sycophancy, hallucinationfinding0.740
  Validates the automated trait expression scoring pipeline