What problem does it solve?
It helps users screen biomedical and life-science papers for observable signs of image/data manipulation and statistical anomalies, while keeping outputs as neutral, evidence-based questions rather than accusations.
Core Features & Use Cases
- Reproducible integrity screening: Produces a structured per-paper checklist focused on what can be seen and verified from the published artifact.
- Image forensics workflow: Guides image-panel triage and verification using duplication categories (Bik Type I/II/III) and transformation-confirmed overlays (flip/rotate/compare).
- Statistical consistency checks: Recomputes or validates reported statistics (e.g., GRIM/GRIMMER/statcheck-style logic) and flags mathematical impossibilities or inconsistencies.
- Verification routing: Suggests where and how to check status and prior concerns (PubPeer, Retraction Watch/ORI, PubMed/Crossmark, scite) without treating status lookups as the core method.
- Safety/defamation guardrails: Enforces graded language (Tier 1 observable anomalies, Tier 2 author-clarification questions) with a “benign-explanation gate” before escalation.
Quick Start
Ask: “Help me screen this biomedical paper (or this figure/blot/DOI) for observable image duplication, blot splicing, and/or statistical anomalies, and write your findings as reproducible Tier 1–Tier 2 questions with neutral wording.”