Indicator of Quality of Water for Human Consumption in the Community El Comején, Masaya (Nicaragua)
Bibliographic record
Abstract
Knowing the quality of water for human consumption is of utmost importance in the development of a country, since the poor quality of this vital liquid can be a source of diseases for the health of the population. The present work was carried out in the community El Comején, Masaya, in the Republic of Nicaragua, where microbiological analyzes were carried out in three sampling points (one well drilled and two taps). The physicochemical and chemical analyzes are in accordance with the norms established by CARPE, highlighting sodium as a major element with a concentration of 48.6 mg L-1 and potassium with 21.08 mg L-1. On the other hand, biological parameters such as total coliforms, thermotolerable coliforms, E. coli and fecal enterococos were analyzed, being found in some sampling points, values of total coliforms of 110 NMP 100 mL-1 being above the established limits, requiring a treatment additional to be suitable for human consumption.
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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 | 0.001 |
| 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 | 0.001 |
| 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".