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Record W7074017597

CONDUCTIVIDAD HIDRÁULICA EN DOS SITIOS DEL VALLE CENTRAL DE COSTA RICA: ANÁLISIS COMPARATIVO DE TRES METODOLOGÍAS DE ENSAYO EN LA ZONA NO SATURADA

2018· other· es· W7074017597 on OpenAlexaboutno aff

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2018
Typeother
Languagees
FieldMaterials Science
TopicGlass properties and applications
Canadian institutionsnot available
Fundersnot available
KeywordsStatistical analysisRail transportationWork safety
DOInot available

Abstract

fetched live from OpenAlex

"Se presentan los resultados de 15 ensayos de conductividad hidráulica realizados en la zona no saturada con los métodos del permeámetro Guelph (PG), método de Porchet (MP) y doble anillo (DA) en dos puntos con un suelo limoso en la finca del AYA en Alajuela y en tres sitios con un suelo limo-arenoso en las instalaciones deportivas de la UCR. Valores de conductividad hidráulica saturada de campo K fs fueron obtenidos a partir de diferentes metodologías de cálculo. Los tres métodos de ensayo consiguen registrar una mayor permeabilidad en los suelos de la UCR, coincidente con un comportamiento más arenoso. En términos comparativos, las estimaciones de K fs son mayores para el procedimiento de Doble Anillo, seguidas por las estimaciones hechas con el Método de Porchet y, finalmente valores menores fueron obtenidos para el Permeámetro Guelph. Esta misma tendencia ha sido reportada en la literatura internacional. Los autores de este trabajo interpretan que los menores valores obtenidos con PG responden a la inclusión de efectos capilares en las ecuaciones de cálculo de K fs y, principalmente a cortos periodos de saturación y monitoreo durante la ejecución de los ensayos MP y DA."

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.020
GPT teacher head0.256
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2018
Admission routes1
Has abstractyes

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