Especies de Thysanoptera en una localidad del Cerro de la Muerte en Costa Rica, Centro América
Bibliographic record
Abstract
El estudio se llevó a cabo de Julio 2010 a Octubre 2013 en 10 hectáreas localizadas en el Cerro de la Muerte, Costa Rica, Centroamérica. Se tomaron muestras mensuales por el método de golpeo de la vegetación en 22 especies de plantas, de las cuales sólo en 18 se obtuvieron thrips. Se recolectaron 14 especies de Thysanoptera, de las cuales 8 fueron de Terebrantia y 6 de Tubulifera. La especie que más se recolectó fue Liothrips sp. (24,4%) y la asociada a un mayor número de plantas, Leptothrips astutus. El género de mayor incidencia fue Frankliniella, con cuatro especies. Se incluyen notas biológicas de las especies recolectadas.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".