Contaminación del aire y suelo del humedal marino costero por material particulado de fuentes industriales en el Callao, Perú
Bibliographic record
Abstract
El objetivo de esta investigación fue analizar los impactos generados por el material particulado en la contaminación del aire y del suelo en el humedal marino-costero del Callao, Perú, durante el periodo 2020-2021, así como prever su situación futura. En cuanto a su metodología, se desarrolló bajo un enfoque cuantitativo, observacional y no experimental, siguiendo protocolos de investigación acordes con la normativa del Ministerio del Ambiente de Perú, las Canadian Soil Quality Guidelines for the Protection of Environmental and Human Health, y las guías de calidad del aire de la Organización Mundial de la Salud.A través de pruebas estadísticas como el rango con signos de Wilcoxon, la H de Kruskal-Wallis, y el método Delphi con el promedio Beta y la desviación estándar, se demostró que el material particulado PM2.5 impacta significativamente en la calidad del aire del humedal. También se encontró que la calidad del suelo se ve afectada por el material particulado, específicamente en las concentraciones de mercurio, arsénico y plomo. Los expertos coinciden en que dicho comportamiento negativo para el humedal se mantendrá.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".