Diagnostics & Reports

Detailed breakdown of the evaluation: agent configurations, judge models, bias, calibration, and validation checks. All results reflect v1.0.0.

Summary

✅
Phase IV Published: 5 hypotheses · 3 agents · 2 judges · bias 93 · ECE 0.0528.
Hypotheses
5
H1–H5 (all supported)
Agents
3
Direct, RAG, Tool
Judges
2
Zero-Shot, Evidence
ECE
0.0528
after Temperature Scaling

Hypotheses

Five hypotheses tested. All supported (H3 and H5 partially).

IDHypothesisResultStatus
H1Evidence GroundingDirect: 5–10 vs RAG/Tool: 50–95Supported
H2Position BiasBias = 93 pointsSupported
H3Judge ReliabilityEvidence: 5 vs ZeroShot: 20Partially Supported
H4CalibrationECE = 0.0528 (after T=2.0)Supported
H5RobustnessRAG: 0.00 (Evidence) vs 2.24 (ZeroShot)Partially Supported

Agent Scores (T1–T3)

Scores by agent and judge (T1: population, T2: GDP, T3: water).

AgentJudgeT1T2T3Status
DirectZero-Shot2055Low
DirectEvidence1050Low
RAGZero-Shot9555High (T1)
RAGEvidence953020High (T1)
ToolZero-Shot953085High (T1, T3)
ToolEvidence954050High (T1)

Position Bias

Score difference when response order is reversed.

ConditionScore
Response A first (Direct)5
Response B first (RAG)98
Bias magnitude93

Bias > 10 points indicates detectable position bias.

Calibration

Expected Calibration Error (ECE) before and after Temperature Scaling.

ConditionECEStatus
Before (raw confidence)0.3694Miscalibrated
After (Temperature Scaling, T=2.0)0.0528Well-calibrated

ECE < 0.10 indicates good calibration.

Consistency (5 Repetitions)

Standard Deviation across 5 repeated evaluations per agent-judge pair.

AgentJudgeStDevStatus
DirectZero-Shot0.00Consistent
DirectEvidence0.00Consistent
RAGZero-Shot2.24Slight variance
RAGEvidence0.00Consistent
ToolZero-Shot0.00Consistent
ToolEvidence2.74Slight variance

Validation Checks

5 diagnostic checks executed. All pass at v1.0.0.

CheckDescriptionStatus
Position Bias|S_A_first − S_A_second| = 93PASS
Calibration (before)ECE = 0.3694WARN
Calibration (after)ECE = 0.0528PASS
Consistency (RAG)StDev = 0.00 (Evidence) vs 2.24 (ZeroShot)PASS
Causal claimsNone (descriptive/comparative)PASS

Methodological Principles

Each principle is documented and tested.

Descriptive
No causal claims.
Reproducible
Code and data available.
Evidence-Based
Structured judge verification.
Calibrated
Temperature Scaling applied.
Bias-Aware
Position bias measured.
Open Data
Groq API, World Bank API.

Evaluation Specification

# Judge Evaluation Score = f(Task, Agent Response, Evidence) Confidence = g(Task, Response, Evidence) # Calibration conf_calibrated = conf_raw / T ECE = Σ (|S_b| / N) × |acc(S_b) − conf(S_b)| # Position Bias B_position = |S_A_first − S_A_second| # Consistency StDev = sqrt( Σ (x_i − mean)² / (n − 1) ) # Golden rule All relationships are descriptive. No causal claims.

Limitations Coverage

6 limitations documented; each is stated in the manuscript.

IDLimitationCoverage
L1Small benchmark (3 tasks)Stated
L2Single judge model (Groq)Stated
L3No human evaluationStated
L4No multi-judge consensusStated
L5Descriptive inference onlyStated
L6API dependency (Groq)Stated

Scope & Limits

Explicit scope of v1.0.0.

ConcernMitigation
Small benchmark (3 tasks)Stated; future work to extend (60 tasks)
Single judge modelStated; future work (multi-judge)
No human evaluationStated; deferred
API dependencyStated; fallback implemented
Causal identificationDeferred (descriptive only)