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Record W4412448886 · doi:10.15381/iigeo.v28i55.26394

Contaminación del aire y suelo del humedal marino costero por material particulado de fuentes industriales en el Callao, Perú

2025· article· es· W4412448886 on OpenAlex
Irma Janet Zegarra Tello, Carlos Francisco Cabrera Carranza, Oscar Rafael Tinoco Gómez, Rosa Karol Moore Torres

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRevista del Instituto de investigación de la Facultad de minas metalurgia y ciencias geográficas · 2025
Typearticle
Languagees
FieldEnergy
TopicEnvironmental and Ecological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesEnvironmental scienceGeologyArt

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0020.004
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.019
GPT teacher head0.289
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it