Bibliographic record
Abstract
As part of a larger project on biodiversity and conservation in Guyana, we documented 130 species of mammals from Iwokrama Forest. This included 7 marsupials, 4 xenarthrans, 86 bats, 5 primates, 8 carnivores, 1 perissodactyl, 4 artiodactyls, and 15 rodents. As is typical for most Neotropical sites, the 86 species of bats represent over half of the mammal diversity. Standardized collecting methods implemented in the 1997 faunal survey of Iwokrama Forest in central Guyana enabled us also to investigate species diversity and abundance resulting from the inventory of mammals. Four species of fruit-eating bats (Artibeus lituratus, A. obscurus, A. planirostris, and Carollia perspicillata) were the most abundant and accounted for 43% of the 2,097 total captures in mist nets and harp traps during 79 nights of sampling. For nonvolant mammals, terrestrial spiny rats (Proechimys spp.) represented over half (55%) of the 65 captures in primarily live box-style traps. We estimate that our inventory is approximately 70% complete with an additional 57 species of mammals expected to occur in Iwokrama Forest. More specialized field techniques are required to attain a complete inventory of mammals, and long-term monitoring should be established at several sites to study spatial and temporal variation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".