Assessment of monitoring techniques for estimating salamander abundance in boreal mixed-wood forests
Bibliographic record
Abstract
A comparative assessment of six different sampling techniques was undertaken in selected boreal mixed-wood forest watersheds of northern Ontario. The sampling methods included, drift fences with pitfall traps, solitary pitfall traps, night encounter surveys, and three types of cover objects (modified, patio stone, and plywood). Significant differences in salamander capture rates were observed among the selected watersheds. Results suggest that the combination of modified cover objects and solitary pitfall traps is the optimal approach for obtaining information on salamander populations in these watersheds. In this study 'Plethodon cinereus' (Green) occurred more often under modified cover objects and in the riparian zone as compared to other cover objects and to upland zones respectively. Results also indicated that salamanders bred preferentially in ponds as compared to stream edges. Salamander captures were significantly lower on sites with high levels of coarse woody debris compared to sites with lower levels. Salamander captures were not correlated with percent canopy cover.
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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 | 0.001 | 0.003 |
| 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) | 0.000 | 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".