Report of the NOAA Fisheries Cetacean Species in the Spotlight Health Assessment Workshop: June 25-26, 2024, Seattle, Washington
Bibliographic record
Abstract
In June 2024, NOAA Fisheries’ West Coast Regional Office (WCR) hosted a Species in the Spotlight (SIS) Health Assessment Workshop to discuss health assessment of three SIS cetaceans: Southern Resident killer whales (Orcinus orca, SRKW), North Atlantic right whales (Eubalaena glacialis, NARW), and Cook Inlet beluga whales (Delphinapterus leucas, CIBW). The workshop brought together scientists and managers from state and federal government agencies, independent research institutions, nonprofit organizations, and universities working in the United States and Canada to discuss marine mammal health assessment with a focus on tools that can be used to investigate the causes of high mortality and low fecundity that are impeding recovery for these three endangered and declining species. The primary goal was to facilitate cross-species discussions on the status of current research, identify information needed to better support population management, and discuss how to overcome the challenge of quantifying health in free-swimming cetaceans using minimally invasive approaches.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.052 | 0.011 |
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".