CLEAR

Claim-Linked Evidence Analysis and Review

Structural evidence analysis for scientific manuscripts. CLEAR examines whether the experimental controls and design actually support the conclusions being drawn.

Manuscript analysis · Editorial integrity support · Based near Heidelberg
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Even if the data are real, do the experimental controls actually support the conclusion?

Most integrity tools detect image manipulation or text reuse. CLEAR asks a different question.

The approach

Figures first, then claims

CLEAR analyzes figures and methods independently before engaging with author narrative. This structural approach reduces confirmation bias and catches mismatches between what the data shows and what the paper claims.

Extract and link Figure panels are extracted, linked to methods and materials, and the experimental structure of each panel is identified: baseline, tested variables, and readout.
Cross-reference materials Listed reagents are checked against presented panels. Antibodies or materials that were purchased but never appear in any figure are flagged.
Map claims to evidence Each claim in the Results section is linked to its supporting panels, creating an auditable claim-to-evidence chain.
Generate rival hypotheses Mechanistically grounded alternative explanations are generated for each panel where the experimental design leaves room for competing interpretations.
Evaluate control sufficiency For each claim, CLEAR assesses whether the controls can discriminate between the authors' interpretation and plausible alternatives.
Reviewer attention demo

Quiescent neural stem cells transiently become neuron-like to coordinate long-range reactivation

Gherghina et al., 2026, The EMBO Journal. RAR sits on top of CLEAR and shows where a reviewer should look: evidence questions, synthesis points, and alternative explanations attached directly to the figure.

Open RAR figure map Reviewer attention report Original paper
RAR figure map with reviewer attention attached to figure panels
Reviewer support surface

What RAR brings forward

CLEAR reads the evidence structure. RAR turns that structure into a small set of useful reviewer tasks rather than a wall of machine judgements.

Evidence question

Where should the reviewer look?

RAR highlights claim-panel links where the figure, legend, or methods should be inspected before the claim is accepted as visually supported.

Needs synthesis

Read the panels together

Some claims are distributed across several panels. RAR keeps the claim visible while pointing the reader to the panel set that has to be interpreted together.

Needs experiment

What would discriminate alternatives?

HRAN-vetted alternative hypotheses are surfaced with suggested experiments, so a reviewer can ask whether the manuscript already resolves them.

The archipelago

Nature, rigor, and perspective

The Swedish archipelago is where I reset, observe, and reconnect with the patterns that inspire my scientific work.

Archipelago at dusk Sunset over the archipelago Archipelago evening light Archipelago sunset reflection
Dr. Asa Hidmark
About

Dr. Asa Hidmark

Biologist with two decades in immunology, from bench work at Scripps, Karolinska, and DKFZ to building CLEAR. I understand both the science and the systems that evaluate it.

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