Evaluación físico-química de los sedimentos en el estero Tamarindo y sus tributarios, Guanacaste, Costa Rica
Bibliographic record
Abstract
Se evaluaron los sedimentos del estero Tamarindo y de los ríos que confluyen en él con el propósito de determinar el efecto de las actividades antropogénicas de las comunidades aledañas. Los parámetros escogidos para la evaluación fueron textura, fósforo total, porcentaje de materia orgánica y concentración de metales pesados (Pb, Cu, Ni y Cr). El estudio abarcó cuatro actividades de muestreo entre octubre 2007 y abril 2008 incluyendo cuatro épocas climáticas: época lluviosa, transición lluviosa-seca, época seca y transición secalluviosa. Se definieron cinco puntos de muestreo dentro del estuario y tres adicionales en los ríos Matapalo, Lomas y Lajas. Para evaluar la calidad de los sedimentos se utilizó la norma establecida por el Ministerio del Ambiente de Ontario, Canadá. Se determinó que las actividades antropogénicas de las comunidades aledañas al estero ejercen un impacto negativo sobre la calidad de los sedimentos; el efecto de contaminación generado por tales actividades se clasificó como efecto menor.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".