Fisher predation on Canada lynx in the Northeastern United States
Bibliographic record
Abstract
ABSTRACT The geographic range of Canada lynx (Lynx canadensis) extends south from Canada into the United States where they are federally protected as a threatened species. Although inadequate protection of habitat on federal lands was the primary reason for listing, the status of lynx in the lower 48 states is not well understood. Thus, we initiated a telemetry study to assess the status of a lynx population in northern Maine, USA. In this manuscript, we present findings on a source of mortality not previously documented. Between 1999 and 2011, we captured 187 lynx, equipped 85 with radio‐collars, and investigated mortalities when they occurred. Predation was the leading source of mortality and accounted for ≥18 of 65 mortalities, 14 of which were attributed to fishers (Martes pennanti). Although fisher predation did not appear to restrict population growth during this study, we recommend that lynx and fishers be monitored where the species coexist to better inform management decisions. © 2018 The Wildlife Society.
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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 | 0.000 |
| 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) | 0.001 | 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".