Preliminary habitat suitability analysis for moose in mainland Nova Scotia, Canada.
Bibliographic record
Abstract
Ecosystem management for biological conservation should include consideration of landscape-scale processes such as the habitat requirements of focal species. Moose (Alces alces americana) have been identified as an appropriate target for focal attention in mainland Nova Scotia. Currently, the population is at risk, and strategies for conservation should include the protection of sufficient habitat to meet the spatial requirements of the population. Delineation of spatial habitat requirements calls for an understanding of species-habitat associations and the distribution of suitable habitat across the landscape. To this end, habitat suitability in Nova Scotia was assessed relative to four criteria: (1) food availability; (2) conifer cover; (3) mixed-wood cover; and, (4) aquatic resources. Model predictions were tested by comparing habitat suitability values to provincial pellet inventory data. Road density was found to be more important than habitat composition in determining moose pellet distribution. ALCES VOL. 38: 73-88 (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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".