Vegetable species consumed by Capromyspilorides Say in forests semideciduos of the peninsula of Guanahacabibes
Bibliographic record
Abstract
The investigation was developed in the forest semideciduo of the peninsula of Guanahacabibes, in three different towns (Melones, Palma Sola andCabo Corrientes), having as objective: To determine the vegetable species used as feeding sources by the jutía conga and the consumed parts. For the obtaining of the data it was carried out the following methodology: In the same parcels where the count of groups fecal cool airs for the determination of the density was carried out, it was carried out a physical count of the plants that appeared consumed by the jutía, scoring, in each them, the parts that were used by this herbivore (bark, leaf, shaft, flowers and fruit). With the plants selectedas consumed by each town it was carried out an analysis of frequency, determining on this base the species more frequently used, as well as the parts of those that were used and their percent. They were determined a total of 34 species of plants of those which (23) are trees, (10) are bushes and (1) liana. The ones most frequently used are: Nectandracoriaceae; Schoepfiachrysophylloides; Drypeteslateriflora; Prunusmyrtifolius and Trophisracemosa. The parts with more percent of use were the leaves and the shaft with 15, 85%, continued by fruit and bark with 13, 91%.
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 | 0.000 |
| 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".