Persona Evaluation — condition4__slack_only__sample500_seed99

Field	Value
Persona	Nimesh Kulatunga
Judge model	openai/gpt-4.1-mini
Embed model	text-embedding-3-small
Rubric draws (k)	3
Total suggestions	50
Pipeline mode	hall_pass=skipped (active=False)

Bucket Distribution

Bucket	Count	% of total
Task Critical	6	12.0%
Quality Of Life	30	60.0%
Noise	14	28.0%

Set-Level Diversity Metrics

Metric	Value	Interpretation
DPP log-det	-31.2190	Higher = more diverse + high-quality set
Cluster coverage	1.000	Fraction of BGT clusters with a task-critical hit
ILAD	0.6966	Mean pairwise distance; higher = more diverse
Redundancy rate	0.000	Fraction of near-duplicate suggestions (cos > 0.9)

Composite Score

Component	Weight	Value
DPP set score (normalised)	0.5	—
Cluster coverage	0.3	1.000
Mean quality (non-hallucinated)	0.2	—
Hallucination penalty	alpha=0.5	x 1.0000

Composite score: 0.6185

Hallucination Summary

Filter: skipped. Hallucination pass skipped (no anti-GT). Penalty pinned to 1.0 so the composite formula and weights stay identical to the active mode and scores remain comparable across runs.

Filtered Hallucinations

Filter inactive — no suggestions were inspected for anti-GT hallucinations.

Top 5 Task-Critical Suggestions

#	ID	Quality	Title
1	1	1.000	Apply Interface-First Design for Modular Pipelines
2	14	1.000	Insert Multimodal Telemetry Metadata into Hand-off Doc
3	21	0.970	Automate Cross-Platform Sync via Zapier
4	23	0.913	Execute Protocol for Items A, B, and C
5	9	0.887	Implement Avro for Modular Schema Evolution

Top 5 Quality-of-Life Suggestions

#	ID	Quality	Title
1	26	0.970	Standardize with OAuth 2.0 for Official API Compliance
2	34	0.970	Proactive 'Ground Truth' Dataset Validation
3	38	0.970	Utilize BIP-Standard Terminology for Feasibility
4	45	0.937	Apply Leaky Bucket Rate Limiting for Unofficial Testing
5	48	0.937	Implement Parallelized Metadata Logging in Python