Aerial survey of Emperor geese and other waterbirds
Bibliographic record
Abstract
Abstract: The fall aerial emperor goose survey was conducted in southwest Alaska for the 25 th consecutive year in 2003. Emphasis was on emperor geese, Pacific brant, Canada geese and Steller’s eiders with populations estimated at 77,290, 139,349, 25,678, and 67,539, respectively. The survey was flown from 27 September to 2 October 2003 from Kuskokwim Bay to Wide Bay, along the north and south sides of the Alaska Peninsula. An amphibious Cessna 206 (N234JB), with a left seat pilot/observer and right seat observer, was flown at 150 feet ASL and 110 knots along the coastline and over estuaries to determine species composition and numbers of birds. Additional replicate surveys of the Izembek NWR area were flown on 26 September, 8 and 9 October to estimate sizes of the Pacific brant and Canada goose (135,944 and 32,886, respectively) populations. Key words: aerial survey, emperor geese, southwest Alaska, waterbirds, waterfowl November 2003
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".