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Contaminación del aire por partículas sedimentables en domicilios en la zona urbana de la Provincia de Leoncio Prado, Departamento de Huánuco

2021· article· es· W4200188892 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Científica Pakamuros · 2021
Typearticle
Languagees
FieldEnvironmental Science
TopicPublic Health and Environmental Issues
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsHumanitiesArtChemistry

Abstract

fetched live from OpenAlex

El estudio tuvo como objetivo evaluar la contaminación del aire por partículas sedimentables en domicilios en la zona urbana de la Provincia de Leoncio Prado, Departamento de Huánuco. El tipo de estudio fue transversal y de nivel descriptivo, la muestra estuvo conformada por 12 zonas de monitoreo. Para el diseño del soporte de placas receptoras, la recolección de muestras y cálculos de la concentración de partículas sedimentables se utilizó los procedimientos del Boletín Oficial del Estado de 1976. Los resultados indican que para la zona de la Av. Amazonas fue de 0.372 mg/cm2/mes, Jr. Julio Burga 0.384 mg/cm2/mes, Av. Raymondi 0.430 mg/cm2/mes, Naranjillo Centro 0.478 mg/cm2/mes, Electrocentro 0.633 mg/cm2/mes, Naranjillo Entrada 0.705 mg/cm2/mes, Afilador 0.722 mg/cm2/mes, Av. Raymondi 0.955 mg/cm2/mes, Brisas del Huallaga 0.966 mg/cm2/mes, Castillo Grande Entrada 0.989 mg/cm2/mes, Supte San Jorge 1.018 mg/cm2/mes y Castillo Grande Centro 1.148 mg/cm2/mes. En conclusión, existió 8 zonas de monitoreo que excedieron los Límites Máximos Permisibles (LMP) de 0.5 mg/cm2/mes establecidas por la Organización Mundial de la Salud (OMS).

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.006
GPT teacher head0.264
Teacher spread0.258 · 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