Moose (Alces alces) population survey in Yukon-Charley Rivers National Preserve, November 2022
Bibliographic record
Abstract
Overall survey dates: November 6-19, 2022 (10 days of survey, 3 weather days) Total survey area: 3,096 mi2 (8,018 km2), 555 survey units Area surveyed: 614 mi2 (1,590 km2), 110 survey units Total moose observed: 183 (101 cows, 21 calves [2 set of twins], 61 bulls) Average search effort: 5.9 minutes/mi2 (3.5 minutes/km2) Population estimate: 738 moose (90% CI: 548-928; +/-26%); long-term average 848 moose Estimated density: 0.24 moose/mi2 (0.62 moose/km2); long-term average 0.27 moose/mi2 Estimated age/sex ratios: 19 calves:100 cows, 7 yearlings bulls:100 cows, 60 bulls:100 cows
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 | 0.001 | 0.001 |
| 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) | 0.003 | 0.001 |
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".