Bat fauna from the Sooretama Biological Reserve, southeastern Brazil
Bibliographic record
Abstract
The Atlantic Forest is one of the world's hotspots of biodiversity, a heterogeneous biome encompassing tropical and subtropical vegetation formations. Its remnants in the state of Espírito Santo, southeastern Brazil, are mostly within state and federal Conservation Units. The largest Unit is the Sooretama Biological Reserve, which harbors several endemic occurrences of fauna and flora, and is the last refuge of some threatened animal species. Inventories of fauna are essential to know the community composition, and for the elaboration of preservation strategies. We conducted a survey focused on the bat fauna of the Sooretama Reserve, analyzing the trophic guilds and the conservation status of its species. We surveyed online taxonomic databases and the literature, resulting in 402 records from two different scientific collections. These records represent five families, 39 genera, and 57 species of bats, revealing that the Sooretama Biological Reserve has all known bat families in the Atlantic Forest biome. Phyllostomidae was the family with the highest number of species registered, and a majority of species belongs to the aerial insectivorous trophic guild. Four species are registered as “Vulnerable” in state and federal conservation books.
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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 | 0.002 | 0.002 |
| 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".