Diurnal Acoustic Activity of Southern Resident Killer Whales in the Salish Sea
Bibliographic record
Abstract
The southern resident killer whales that inhabit the Salish Sea during the summer months are currently being considered for classification as a threatened species under the Endangered Species Act due to a general decline population over the last decade (NMFS 2005). The proximity of their habitat to several major cities on the west coast of the US and Canada makes them vulnerable to a host of hazards. Major risk factors include: the decline of salmon, particularly Chinook salmon, their primary food source during the summer months; toxicity through polluted food sources; and the acoustic and physical constraints of increased boat traffic in the waters where they live (NMFS 2005). Their precarious situation necessitates a better understanding of how they use their environment. The two populations of resident orcas of the northwest Pacific coast are the most studied groups of the species worldwide, yet there is still much left unknown about them. Their daytime activities and travel during the summer months have received much attention by researchers and the public in recent years but (Osbourne and Otis data, Orcanetwork), however we know very little about where they go and what they eat during their winter
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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 | 0.000 | 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) | 0.002 | 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".