Determinación de la calidad del agua del Río Caldera, Boquete, Chiriquí
Bibliographic record
Abstract
El presente estudio evalúo la calidad del agua del río Caldera, uno de los ríos más importantes de la provincia de Chiriquí, el cual abastece al distrito de Boquete, tanto para consumo humano, como para fines agrícolas y ganaderos. Fueron medidos tres sitios del río Caldera (parte alta, media y baja), obteniéndose los promedios de parámetros de temperatura del agua (20,55 °C), conductividad eléctrica (69,37 µS cm-1) y pH (7,5). Comparando los datos obtenidos con los valores del Reglamento Técnico DGNTI-COPANIT 23- 395 –99 de agua potable: los niveles de pH mantienen un rango permisible (6,5 – 8,5), los TDS indican un agua de poca mineralización (<100 mgL-1), la conductividad menor al límite estipulado (850 µScm-1) y la temperatura inferior a 28 °C es óptima. Los resultados indican una buena calidad de agua según los parámetros estudiados; sin embargo, de los cinco metales estudiados (Al, Cd, Cr, Cu y Pb), la mayoría presentó concentraciones menores a los límites establecidos; a excepción del cadmio, el cual sobrepasa el límite de 0,003 mgL-1 de acuerdo con la legislación establecida.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".