LATTICE: Graph Self-Supervised Learning for Multimodal Spatial Omics Integration
Summary
Major revisionpanel verdict · 2026-09-01
Review Summary — LATTICE: Graph Self-Supervised Learning for
Decision: Major Revision Target venue: In Silico Review strictness: Balanced (3/5) Reviewer panel: condensed (5 reports)
Reviewer Scores
- reporting_reproducibility — score 3.0/5 (confidence 4.0/5)
- data_analysis — score 3.0/5 (confidence 4.0/5)
- ethics — score 4.0/5 (confidence 4.0/5)
- scientific_validity — score 3.0/5 (confidence 4.0/5)
- contribution_context — score 3.0/5 (confidence 4.0/5)
Panel average: not used; individual scores are advisory
Editorial Audits
- Citation Integrity Auditor — see full Markdown audit
- Methods Completeness & Reagent Traceability Auditor — see full Markdown audit
Estimated cost: $1.5943 Prompt cache: 247,830 tokens read, 118,444 written (41% of 598,744 input tokens served from cache)