A Programmatic Agreement To Miminize Highway Project Impacts On Canada Lynx (Lynx Canadensis) In Colorado
Bibliographic record
Abstract
Multiple highway projects which may affect lynx are proposed throughout the State of Colorado. Because these projects are federally funded, they must comply with the requirements of the ESA. The process for determining if and how a project will impact lynx will be similar for all projects. Therefore, a programmatic agreement between CDOT, FHWA and USFWS, outlining a standard methodology for impact assessment and mitigation design, has been developed. The programmatic agreement removes a large amount of uncertainty and redundancy from the Section 7 consultation process for all projects. By following the programmatic=s standards, CDOT will ensure that projects and mitigation are designed to reduce impacts to the lowest possible level prior to consultation. These standards also ensure that USFWS evaluates projects on a consistent, predictable basis. All projects designed according to the programmatic agreement=s standards should have minimal impact to lynx, be approved by USFWS, and move forward in a timely manner.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".