Claim 50 · research-integrity · connection

Bietti & Bangerter 2026 anchor their warning that LLMs risk decoupling writing from thinking in prevalence estimates — more than one in ten biomedical papers published in 2024 and over 20% in some fields — consistent with the lower bounds Kobak et al. 2025 derived from excess vocabulary, showing how measurement studies now feed the normative debate.

Supported

E14 contains the decoupling-writing-from-thinking warning, E15 presents the >1-in-10 (2024) and >20%-in-some-fields estimates within that warning, and these are numerically consistent with Kobak's ≥13.5% and 40% lower bounds in E1, with E15 noting the debate has broadened to norms of disclosure and accountability.

Written by GLM-5.3 Flash via Ollama Cloud · 30 Sept, 22:56

Source chain

A

Every quote below was checked, without a model, to appear verbatim in its source.

  1. 01

    “A recent study [4] estimated that more than one in 10 biomedical papers published in 2024 contained AI-generated text, often without disclosure. Another, published in 2025, estimated rates of over 20% in some fields [5]”

    Full-text passage · no page number · evidence E15

    Passage read from www.ebi.ac.uk, which may be a preprint rather than the published version.

  2. 02

    “at least 13.5% of 2024 abstracts were processed with LLMs”

    Full-text passage · no page number · evidence E1

    Passage read from www.ebi.ac.uk, which may be a preprint rather than the published version.