Habitat Evaluation Procedures (HEP) Report, Pend Oreille Wetlands Wildlife II Project, Technical Report 2002.
Bibliographic record
Abstract
In 2002, the Habitat Evaluation Procedure (HEP) was used to determine baseline habitat suitability on the Pend Oreille Wetlands Wildlife II Project, an acquisition completed by the Kalispel Tribe of Indians in 1997. Evaluation species and appropriate models include bald eagle, black-capped chickadee, Canada goose, mallard, and yellow warbler. Habitat Suitability Index (HSI) values were visually estimated and agreed upon by all HEP team members. The Pend Oreille Wetlands Wildlife II Project provides a total of 313.91 Habitat Units (HUs) for the species evaluated. Open water habitat provides 16.08 HUs for Canada goose and mallard. Shoreline and island habitat provide 7.36 HUs fore Canada goose and mallard. Wet meadow provides 117.62 HUs for Canada goose and mallard. Scrub-shrub wetlands provide 9.78 HUs for yellow warbler, mallard, and white-tailed deer. Deciduous forested wetlands provide 140.47 HUs for bald eagle, black-capped chickadee, mallard, and white-tailed deer. Conifer forest provides 22.60 HUs for bald eagle, black-capped chickadee, and white-tailed deer. The objective of using HEP at the Pend Oreille Wetlands Wildlife II Project and other protected properties is to document the quality and quantity of available habitat for selected wildlife species. In this way, HEP provides information on the relative value of the same area at future points in time so that the effect of management activities on wildlife habitat can be quantified. When combined with other tools, the baseline HEP will be used to determine the most effective on-site management, restoration, and enhancement actions to increase habitat suitability for targeted species. The same process will be replicated every five years to quantitatively evaluate the effectiveness of management strategies in improving and maintaining habitat conditions while providing additional crediting to BPA for enhanced habitat values.
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.021 |
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".