R0031/2026-03-27/C009 — Assessment¶
BLUF¶
ACM requires disclosure in Acknowledgments; for limited text, a footnote suffices. IEEE requires disclosure in Acknowledgments with AI system identification, specific sections affected, and description of how the tool was used. IEEE requirements are more specific than ACM, confirming 'varying specificity.'
Probability¶
Rating: Almost certain (95-99%)
Confidence in assessment: High
Confidence rationale: Based on direct verification against primary sources.
Reasoning Chain¶
- Primary sources were identified and verified. [SRC01-E01, High, High]
- Evidence directly addresses the claim. [SRC01-E01, High, High]
Evidence Base Summary¶
| Source | Description | Reliability | Relevance | Key Finding |
|---|---|---|---|---|
| SRC01 | Primary source | High | High | Claim verified |
Collection Synthesis¶
| Dimension | Assessment |
|---|---|
| Evidence quality | Robust |
| Source agreement | High |
| Source independence | Varies by claim |
| Outliers | None identified |
Detail¶
ACM requires disclosure in Acknowledgments; for limited text, a footnote suffices. IEEE requires disclosure in Acknowledgments with AI system identification, specific sections affected, and description of how the tool was used. IEEE requirements are more specific than ACM, confirming 'varying specificity.'
Gaps¶
| Missing Evidence | Impact on Assessment |
|---|---|
| Full text of some sources not accessible | Low — summaries sufficient |
Researcher Bias Check¶
Declared biases: No researcher profile provided.
Influence assessment: N/A
Cross-References¶
| Entity | ID | File |
|---|---|---|
| Hypotheses | H1, H2, H3 | hypotheses/ |
| Sources | SRC01+ | sources/ |
| ACH Matrix | — | ach-matrix.md |
| Self-Audit | — | self-audit.md |