Survival of protected white-lipped peccaries in Costa Rica
Bibliographic record
Abstract
The conservation of remnant populations of white-lipped peccaries (Tayassu pecari) in Central America depends on understanding their demography, but few quantitative data exist. We report survival and cause-specific mortality of 25 female and 11 male radio-marked adult (>1.0 year old) white-lipped peccaries monitored during February 1995 February 2001 in Corcovado National Park, their largest stronghold in Costa Rica. Annual survival was lower for female (0.78; 95% CI = 0.680.88) than for male (0.94; 95% CI = 0.861.00) peccaries. Both sexes were poached and died in accidents but only females were killed by predators or died of unknown causes (but not poaching). In comparison with the demography of collared peccaries (Tayassu tajacu), the population of white-lipped peccaries in Corcovado National Park may be maintaining itself. Still, protected areas may need to be expanded and (or) more forcefully monitored to sustain white-lipped peccaries throughout their range if additional use by humans is likely to occur, especially given stochastic population processes and human population increases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".