Bibliographic record
Abstract
(WDFW) co-lead an ecosystem study of the Puget Sound called the Puget Sound Nearshore Ecosystem Restoration Project (PSNERP). The study commenced in federal Fiscal Year (FY) 2001 and is scheduled to conclude in FY 2012. The purpose of the study is to evaluate significant ecosystem degradation in the Puget Sound Basin; to formulate, evaluate, and screen potential solutions to these problems; and to recommend a series of actions and projects to restore and preserve critical nearshore habitat. The second phase of work, which will entail implementing process-based restoration projects, will commence when the study is completed and federal and state restoration funds are dedicated for necessary projects. These projects will be carried out to improve the integrity and resilience of ecosystem processes and to promote environmental and human health and well being. The geographical domain of the study area extends along 2,500 miles of shoreline from the Canadian border, through Puget Sound, and along the Strait of Juan de Fuca to Cape Flattery. PSNERP defines the nearshore as the area that extends from the top of shoreline bluffs or upstream in estuaries to the head of tidal influence waterward to the deepest extent of the photic zone. The protection and restoration of nearshore habitats in Puget Sound requires the application of recovery actions or “management measures ” that address nearshore ecosystem processes, functions, and structures.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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 teacher head, 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".