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Record W648401559

Evaluación físico-química de los sedimentos en el estero Tamarindo y sus tributarios, Guanacaste, Costa Rica

2012· article· es· W648401559 on OpenAlexaboutno aff
Francela María Bravo Chaves, Gilberto Piedra Marín, Lilliana Piedra Castro

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2012
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicBotany and Geology in Latin America and Caribbean
Canadian institutionsnot available
Fundersnot available
KeywordsEstuaryDry seasonTributaryWet seasonSedimentHydrology (agriculture)Environmental sciencePollutionOrganic matterGeographyGeologyEcologyGeomorphologyOceanographyCartographyBiology
DOInot available

Abstract

fetched live from OpenAlex

Se evaluaron los sedimentos del estero Tamarindo y de los ríos que confluyen en él con el propósito de determinar el efecto de las actividades antropogénicas de las comunidades aledañas. Los parámetros escogidos para la evaluación fueron textura, fósforo total, porcentaje de materia orgánica y concentración de metales pesados (Pb, Cu, Ni y Cr). El estudio abarcó cuatro actividades de muestreo entre octubre 2007 y abril 2008 incluyendo cuatro épocas climáticas: época lluviosa, transición lluviosa-seca, época seca y transición secalluviosa. Se definieron cinco puntos de muestreo dentro del estuario y tres adicionales en los ríos Matapalo, Lomas y Lajas. Para evaluar la calidad de los sedimentos se utilizó la norma establecida por el Ministerio del Ambiente de Ontario, Canadá. Se determinó que las actividades antropogénicas de las comunidades aledañas al estero ejercen un impacto negativo sobre la calidad de los sedimentos; el efecto de contaminación generado por tales actividades se clasificó como efecto menor.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.226
Threshold uncertainty score0.450

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.123
GPT teacher head0.513
Teacher spread0.390 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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