Pelagic Predators, Prey and Processes (P4): A Multi-species Approach to the Conservation of Offshore Organisms and Habitats in the California Current System
Bibliographic record
Abstract
"Pelagic Predators, Prey and Processes" (P4) is an inter-disciplinary initiative developed to address the conservation of marine top predators along the West Coast of North America. P4 integrates research and policy components lead by PRBO Conservation Science (formerly Point Reyes Bird Observatory), Duke University Marine Laboratory and Canadian Wildlife Service, in conjunction with numerous partners that include funding and resource management agencies, academia, and researchers. Herein, we provide an overview of the P4 conservation initiative background, objectives, and initial products. We include a brief summary of data collected on collaborative research cruises and preliminary analyses of seabird, cetacean, and marine turtle ocean habitat selection. Data reveal that continental shelf-break and slope areas in the California Current System (CCS) support rich and diverse top predator assemblages. Moreover, results suggest that bathymetry may be useful in selecting appropriate marine habitats for Marine Protected Areas (MPAs) designation to protect highly mobile marine vertebrates. We also summarize the highlights from a workshop held in January 2002 to explore the "scientific basis for offshore / pelagic marine reserves" and report on the resulting establishment of the "Pelagic Working Group" (PWG). The PWG concluded that persistent ocean productivity patterns and pelagic species distributions could be readily identified in the CCS. In principle, MPAs could be used to protect some of these offshore species and habitats from certain anthropogenic impacts.
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 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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".