Impacts of wildlife viewing on moose use of a roadside salt lick.
Bibliographic record
Abstract
In northern New Hampshire, we examined the use patterns of moose visiting a roadside salt lick before (1996) and after (1997-1999) a blind was built specifically to view moose at the lick. Moose visitation patterns were monitored with trail monitors equipped with cameras placed on trails leading into the study and control salt licks. There was no difference in frequency of use and time of use at the study and control sites in any year. Nocturnal use was higher than diurnal use; use was greatest at 2200-2400 and 0400-0600 hours at both sites. Reduced use of the trail closest to the blind indicated that placement of the blind probably altered access patterns of certain moose. A trend in 1998-1999 toward more visits during early morning than peak afternoon viewing time indicated that assessment of viewing opportunity warrants further study. ALCES VOL. 38: 205-211 (2002)
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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 | 0.001 |
| 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".