Did an AI or human write that paper? New detector decides by examining its ideas

Algorithm looks for clues about a paper's origin that text-based detectors miss

By BrainardOct 12, 2026

Score████░░░░░░4.3

VerdictCompetent work. Briefs at most.

Summary from the source

Algorithm looks for clues about a paper's origin that text-based detectors miss

Jeffrey Brainard

Heuristic review

Dimension	Level	Weight	What that level means
Leverage	██░░░ 2	15%	Reusable within one subfield (a technique, dataset, or protocol a few groups will adopt).
Magnitude	██░░░ 2	20%	Solid incremental gain on a meaningful problem.
Evidence	██░░░ 2	20%	Limited: single setting, weak baselines, or an observational association presented as causal.
Novelty	██░░░ 2	10%	A new combination of known ideas.
Trajectory	██░░░ 2	10%	Some room to improve with obvious engineering.
Stakes	██░░░ 2	25%	Benefits a professional community (practitioners, clinicians, engineers).

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. No strong cues found.

rank-2026-10-07

Score████░░░░░░4.3

Score = 10 × (50% × adjusted merit / 10 + 25% × attention + 25% × freshness)

Merit: 3.4 / 10; Weighted rubric, evidence-gated.
Adjusted merit: 3.8 / 10; Shrunk toward the desk prior by editor confidence (30%).
Attention: 30%; Citations, upvotes, points, mentions.
Freshness: 66%; Half-life decay since publication.

No attention signals recorded yet.