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Estudio ambiental sobre el riesgo ecológico que representa el plomo presente en el suelo / Environmental study on ecological lead risks in soils

2012· article· es· W1494588148 on OpenAlexaff
Maritza Reyes Guzmán, Gerardo Avendaño Prieto

Bibliographic record

VenueRevista Escuela de Administración de Negocios · 2012
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicSoil Science and Environmental Management
Canadian institutionsLaurentian University
Fundersnot available
KeywordsGeographyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Rev.esc.adm.negEn el contexto de la Ingeniería Ambiental es bien conocido que el plomo es un metal altamente tóxico que genera problemas graves para la salud humana. La Agencia de Protección Ambiental de los Estados Unidos, indica que una cantidad de 15 µg de plomo por litro, es preocupante, porque puede causar daño en el cerebro y el sistema nervioso. En algunos suelos de la Sabana de Bogotá, se han encontrado concentraciones altas de plomo, que en algunos casos superan los promedios mundiales. Este trabajo estudia qué parte del plomo contenido en el suelo podría introducirse en la cadena alimenticia, existiendo un riesgo ecológico potencial para el normal desarrollo de la flora, la fauna y en especial para la población humana que consume productos agrícolas cultivados en estos suelos. Se midieron las concentraciones de plomo en diferentes muestras de suelo y se encontró que aproximadamente el 27% del plomo contenido en los suelos tiene el riesgo de movilizarse fácilmente y afectar negativamente el ecosistema.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.320
Teacher spread0.284 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2012
Admission routes1
Has abstractyes

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