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R0057/2026-04-01/C001 — Self-Audit

ROBIS 4-Domain Audit

Domain 1: Eligibility Criteria

Rating: Low risk

Criterion Assessment
Criteria defined before search Yes — looked for the specific 49% figure in peer-reviewed sources
Criteria stable throughout Yes — no shift in what counted as evidence

Notes: Straightforward quantitative claim with clear verification criteria.

Domain 2: Search Comprehensiveness

Rating: Low risk

Criterion Assessment
Multiple search strategies used Yes — searched for study, authors, and specific figure
Searches designed to test each hypothesis Yes — searched for contradicting evidence
All results dispositioned Yes — 10 returned, 3 selected
Source diversity achieved Moderate — most sources trace to single study

Notes: The claim references a specific study; source diversity is inherently limited.

Domain 3: Evaluation Consistency

Rating: Low risk

Criterion Assessment
All sources scored using same framework Yes
Evidence typed consistently Yes
ACH matrix applied Yes
Diagnosticity analysis performed Yes

Notes: Consistent application across all evidence.

Domain 4: Synthesis Fairness

Rating: Low risk

Criterion Assessment
All hypotheses given fair hearing Yes — H3 actively investigated
Contradictory evidence surfaced No contradictory evidence found
Confidence calibrated to evidence Yes — Very likely rather than Almost certain due to paywall limitation
Gaps acknowledged Yes — paywall and absence of replication noted

Notes: The assessment was appropriately calibrated.

Domain 5: Source-Back Verification

Rating: Low risk

Source Claim in Assessment Source Actually Says Match?
SRC01 Models endorse users 49% more Multiple secondary sources confirm 49% on general/Reddit prompts Yes

Discrepancies found: 0

Corrections applied: None needed

Unresolved flags: None

Notes: The 49% figure is consistently reported across all secondary sources.

Overall Assessment

Overall risk of bias: Low risk

The claim is a narrow quantitative assertion verified against a well-documented primary source. The assessment is straightforward.

Researcher Bias Check

  • Confirmation bias risk: The researcher's anti-sycophancy bias predisposes acceptance of evidence showing AI is sycophantic. Mitigated by the fact that the source is peer-reviewed in Science and the figure is specific and verifiable.