R0031/2026-03-29/C009 — Assessment¶
BLUF¶
Confirmed. ACM requires Acknowledgements section disclosure. IEEE requires acknowledgment section disclosure specifying AI system, sections, and application. Both prohibit AI authorship with different disclosure granularity.
Probability¶
Rating: Almost certain (95-99%) Confidence in assessment: High Confidence rationale: Based on direct verification against primary sources.
Reasoning Chain¶
See individual source evidence files for detailed reasoning.
Evidence Base Summary¶
See index.md for source listing.
Collection Synthesis¶
| Dimension | Assessment |
|---|---|
| Evidence quality | Robust |
| Source agreement | High |
| Source independence | Adequate |
| Outliers | None significant |
Gaps¶
| Missing Evidence | Impact on Assessment |
|---|---|
| See individual claim analysis | Low to medium |
Researcher Bias Check¶
Declared biases: Pro-technology and plural voice advocacy monitored throughout. Influence assessment: Low risk for factual verification claims.
Cross-References¶
| Entity | ID | File |
|---|---|---|
| Hypotheses | H1, H2, H3 | hypotheses/ |
| ACH Matrix | — | ach-matrix.md |
| Self-Audit | — | self-audit.md |