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Record W2604544955 · doi:10.22458/urj.v9i1.1674

Comparación de tres métodos de infiltración utilizados para el cálculo del balance hídrico del suelo, en la Cuenca del río Suquiapa, El Salvador

2017· article· es· W2604544955 on OpenAlexaboutno aff
César Armando Alvarado Batres, Marco Barahona-Palomo

Bibliographic record

VenueUNED Research Journal · 2017
Typearticle
Languagees
FieldEnvironmental Science
TopicWater Resource Management and Quality
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

La infiltración del agua en el suelo juega un papel fundamental en el ciclo hidrológico. Dependiendo de las condiciones geológicas, puede permanecer en el suelo en forma de humedad; escurrir como flujo subsuperficial y aflorar como una naciente efímera; o recargar el acuífero, entre otros. Aquí presentamos una comparación de los valores de la recarga potencial para una misma cuenca, con tres métodos de infiltración comúnmente utilizados in situ: doble anillo, Porchet y permeámetro de Guelph. Observamos una correlación buena (r2=0,74) entre los valores obtenidos por medio del método del doble anillo y el permeámetro de Guelph; la correlación entre el método de Porchet y estos otros dos métodos es mala (r2 inferior a 0,02).Los valores de recarga obtenidos muestran que no hay una variación significativa entre estos métodos de infiltración, obteniendo resultados dentro del intervalo de confianza

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.084
GPT teacher head0.414
Teacher spread0.330 · 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 designBench or experimental
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

Citations8
Published2017
Admission routes1
Has abstractyes

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Same venueUNED Research JournalSame topicWater Resource Management and QualityFrench-language works237,207