Campaign — One letter sent by 10 or more people, copied or lightly reworded. One of 19 submissions in its group. See the letter, its submissions and topics.
Not scored for substance: the comment does not clear the floor of substantive signal.
These results are meant to be shared.
How it works. A large language model (an open-weight Qwen3.8 model) reads each substantive comment and copies, word for word, the passages that carry its analytical gap, evidence, request, alternative and connection to the place; it returns no scores. Code grades those passages 0–3 on eight dimensions — evidence, legal grounding, engagement with the environmental analysis, analytical gaps, alternatives, specific requests, position, and local knowledge — with legal grounding taken from a citation scan, not the model. For the strongest tenth on each side, the copied passages are checked against the comment and shown as exhibits. A comment counts as “substantive” when it clears a floor filter — it must show at least one substantive signal (a named entity, a specific citation, a stated analytical deficiency, or first-person testimony), which screens out one-line and purely conclusory submissions before any model scoring.
The full method. Every step, why it is done that way, its known limits and a glossary: Methodologies →
The data. The full canonical dataset — every comment on Docket FS-2025-0001 — is available from Regulations.gov's bulk download, the canonical source: https://www.regulations.gov/bulkdownload. Download the CSV directly (Regulations.gov keeps this link working until October 18, 2026): https://bulk-downloads.regulations.gov/mv4-z8fw-q5jx.csv.
Roadless.org — analysis of the public comment docket.
Media inquiries welcome — nicholas@wanderingnature.com.
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