Análisis de la composición florística de los bosques de Jenaro Herrera, Loreto, Perú
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
La composición florística de 17 parcelas (0,5 - 2 ha) de Jenaro Herrera, Loreto, Perú fue analizada utilizando el método multivariado de agrupamiento por promedio aritmético de grupos de pares no ponderados (UPGMA). Nueve grupos florísticos fueron reportados y correspondieron a los siguientes tipos de bosque descritos anteriormente en la zona: 1) bosque ribereño, un grupo; 2) bosque latifoliado de aguas negras, dos grupos; 3) bosque de arena blanca, dos grupos(más un grupo con parcela que incluye parte de otro tipo de bosque); 4) bosque de terraza, un grupo; 5) bosque de palmeras de aguas negras, un grupo; y 6) bosque de palmeras de terraza baja, un grupo. Problemas taxonómicos en el nivel de especies fueron minimizados con la remoción de las especies raras.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it