DENSITY OF FISHERS (PEKANIA PENNANTI) AT THE SOUTHWESTERN EDGE OF THE SPECIES' RANGE IN BRITISH COLUMBIA
Bibliographic record
Abstract
Fishers (Pekania pennanti) are a species of conservation concern in central British Columbia for which distribution and abundance information is needed to help guide conservation efforts. We conducted a DNA-based spatial capture-recapture study in the Bridge River watershed to gain a better understanding of their density in the dry forests at the southwestern edge of the species' range in the province. We established and monitored baited hair traps at 152 sites spread throughout 771.4 km2 over 4 mo in early 2012, detecting 8 individual Fishers (3 females, 5 males) at 16 different sites. We used spatially explicit capture-recapture methods to estimate the density of Fishers to be 13.1 Fishers/1000 km2 (95% CI: 6.3 to 27.4 Fishers/1000 km2) when we constrained the plausible sampling area to biogeoclimatic zones that are known to support Fishers. This study provides resource managers and trappers with a snapshot of local Fisher densities at the southern edge of the species range in British Columbia that will help estimate sustainable harvest levels and refine the estimate of the provincial population of Fishers.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".