Impacts of introduced Norway rats (Rattus norvegicus) on least auklets (Aethia pusilla) breeding at Kiska Island, Aleutian Islands, Alaska during 2001-2003
Bibliographic record
Abstract
I quantified impacts of non-indigenous Norway rats on Least Auklets breeding at Kiska Island. Little direct evidence of rat predation was found in my productivity crevices, nevertheless hundreds of rat-predated Least Auklet adults, chicks and eggs were found at the auklet colony and in rat hoards. My estimate of adult Least Auklet survival from Kiska (0.88 in 2001- 2002) was similar to values estimated by others. Yet in these years reproductive success was the lowest ever recorded (0.16 and 0.09) in the Aleutians. Norway rats foraging within the auklet colony were larger in size and showed increased reproductive activity than those foraging off the auklet colony. A simple population viability analysis, using current vital rate estimates, revealed that Least Auklets on Kiska are likely experiencing a rapid population decline. Continued monitoring and mitigation plans are required to further address the impacts of rats on auklets at Kiska.
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 | 0.000 | 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) | 0.001 | 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".