Skip to content

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

  1. Primary sources were identified and verified. [SRC01-E01, High, High]
  2. 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