The Accomplishments of a Network- Priceless Resources: A Strategic Framework for Wetland and Riparian Area Conservation and Restoration in Montana 2008-2012- and Prioritization for 2013-2017
Bibliographic record
Abstract
The grizzly bear (Ursus arctos) was listed as a threatened species in the lower 48 states in 1975. Formal recovery efforts started in 1981 with the completion of the first Recovery Plan. The state and federal agencies, tribes, and Canadian provinces were organized in 1983 into a cooperative structure called the Interagency Grizzly Bear Committee to work together to implement the Recovery Plan. At the time of listing, the exact number of grizzly bears was unknown but probable numbers in the Yellowstone ecosystem were approximately 250, in the Northern Continental Divide Ecosystem (NCDE) approximately 400. In 2012, population estimates in the Yellowstone ecosystem are approximately 700 and approximately 1000 in the NCDE. Both of these populations appear to be approaching the carrying capacity of their ecosystems as evidenced by reduced subadult survival in the core areas of the Yellowstone ecosystem and dispersal of primarily subadults into peripheral habitats in both ecosystems. The expanding range and numbers of grizzlies is resulting in re-occupancy of habitats in Montana where grizzly bears had been extirpated for over 100 years. The objective of the Endangered Species Act (ESA) is to get listed species to the point at which protection of the ESA is no longer required. We review progress toward recovery and delisting and the reasons the grizzlies in these ecosystems have recovered including mortality control, habitat management, nuisance bear management, and outreach and education. We also describe future management once recovery and delisting have been achieved and how this management will assure the long-term future of this species in Montana.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".