Riqueza, abundancia relativa y patrones de actividad de mamíferos medianos y grandes en el Bosque Protector Cerro Blanco (Guayas, Ecuador)
Bibliographic record
Abstract
The study of large and medium-sized mammals based on systematic methodologies and standardized techniques have covered few localities in the province of Guayas, a region characterized by accelerated urbanization, as is the case for Bosque Protector Cerro Blanco. Our objective was to assess the richness, relative abundance, and activity patterns of large and medium-sized mammals in this reserve. During seven months, from March to September 2019, we established 17 camera-trap stations and estimated the Relative Abundance Index (RAI) and activity patterns of the species recorded. With a sampling effort of 2937 camera-days and 1931 independent photographic events of mammals, we recorded 16 native species and one introduced (Canis lupus familiaris); species as Dasyprocta punctata and Procyon cancrivorus presented higher RAI; four species were categorized as diurnal, six as nocturnal, and two as cathemeral. Also, we recorded two endangered species through camera-traps: Alouatta palliata and Cebus aequatorialis. We recommend maintaining continuous and systematic monitoring in this reserve to understand the effects of defaunation and introduced species on native mammal species.
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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 | 0.000 | 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) | 0.001 | 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".