Claims

Most publications show very low AI usage scores, with higher mean AI usage in PLoS than Nature

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

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? The distribution of AI usage scores is concentrated near zero, and the mean score is higher in PLoS than in Nature. → Haoyang Wang 2026

Evidence

Haoyang Wang 2026

Haoyang Wang, Mingze Zhang, Yi Bu, Star Xing Zhao, Meijun Liu. (2026). Smaller, Younger, and More Impactful: How AI-Assisted Writing Transforms Research Teams. https://arxiv.org/abs/2605.27404 doi:10.48550/arxiv.2605.27404

q2 · i? · associational · r2

Distributional analysis of AI usage scores in the PLoS and Nature corpora, plotted in Fig. 1. The article reports that "most publications demonstrate very low AI usage scores" and that the mean score is higher in PLoS than Nature, with thresholds of 0.092 (PLoS) and 0.026 (Nature) at the 95th percentile.

"It shows that most publications demonstrate very low AI usage scores and only a small portion exabits high AI usage scores. In addition, a higher mean AI usage score is founded in PLoS than Nature, suggesting that publications published in top -tier journals are more reluctant in applying AI-assisted writing."

Discussion

Page metadata
Field Value
type claim
id low-ai-usage-scores-higher-mean-plos
title Most publications show very low AI usage scores, with higher mean AI usage in PLoS than Nature
description Most publications show very low AI usage scores, with higher mean AI usage in PLoS than Nature
status review
evidence_strength weak
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — haoyang-wang-2026

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