Claims

On fully AI-generated papers produced with ChatGPT Deep Research, Pangram achieved 65% strict accuracy while Turnitin, GPTZero and Copyleaks classified essentially all papers as false negatives

Claim · All claims
Evidence · 1 study (2 entries) · causal r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Pangram was the only tool that performed well on fully AI-generated papers, with strict accuracy of 65% and inclusive accuracy of 97.5%. → Marijke Van Vlasselaer 2026 q2 i? Turnitin, GPTZero and Copyleaks completely failed to detect the fully AI-generated content, classifying 100%, 70% and 75% of papers as false negatives respectively. → Marijke Van Vlasselaer 2026 (2)

Evidence

Marijke Van Vlasselaer 2026

Marijke Van Vlasselaer, Filip Van Droogenbroeck and Bram Spruyt. (2026). Who wrote this? Evaluating the reliability of AI detection tools in higher education. International Journal for Educational Integrity. https://doi.org/10.1007/s40979-026-00226-w

q2 · i? · causal · r2

Classification accuracy analysis of the synthetic dataset (n = 40 fully AI-generated papers generated with ChatGPT Deep Research mode, ground truth = 100% AI), scored against predefined accuracy scales from Weber-Wulff et al. The article reports "a strict accuracy of 65% and an inclusive accuracy of 97.5%" for Pangram.

"Pangram was the only tool that performed well, with a strict accuracy of 65% and an inclusive accuracy of 97.5%, leaving only one case misclassified."

Marijke Van Vlasselaer 2026 (2)

Marijke Van Vlasselaer, Filip Van Droogenbroeck and Bram Spruyt. (2026). Who wrote this? Evaluating the reliability of AI detection tools in higher education. International Journal for Educational Integrity. https://doi.org/10.1007/s40979-026-00226-w

q2 · i? · design · r2

Same classification accuracy analysis of the 40 fully AI-generated papers. The article reports Turnitin classified "100% of the Fully AI generated papers as False Negatives" and Copyleaks had 75% False Negatives and 25% Partially False Negatives; no effect size is printed.

"Turnitin classified 100% of the Fully AI generated papers as False Negatives (scores between 0 and 20%) while GPTzero classified 70% as False Negatives and 30% as Partially False Negatives (score between 20 and 40%)."

Discussion

Page metadata
Field Value
type claim
id pangram-outperforms-tools-fully-ai-generated-deep-research
title On fully AI-generated papers produced with ChatGPT Deep Research, Pangram achieved 65% strict accuracy while Turnitin, GPTZero and Copyleaks classified essentially all papers as false negatives
description On fully AI-generated papers produced with ChatGPT Deep Research, Pangram achieved 65% strict accuracy while Turnitin, GPTZero and Copyleaks classified essentially all papers as false negatives
status review
evidence_strength moderate
newest_evidence 2026
recheck_by 2029
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 2 — marijke-van-vlasselaer-2026, marijke-van-vlasselaer-2026-2

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