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Nuevos datos sobre el balance hídrico en el acuífero de la Vega de Granada a partir de un modelo de flujo

2013· article· en· W28678619 on OpenAlexfundaboutno aff
María Luisa Calvache Quesada, José Manuel Gómez Fontalva, Carlos Duque

Bibliographic record

VenueGeogaceta · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical and socio-economic studies of Spain and related regions
Canadian institutionsnot available
FundersOntario Ministry of Health and Long-Term CareCanadian Institutes of Health ResearchOntario HIV Treatment Network
KeywordsHumanitiesPhysicsPhilosophy

Abstract

fetched live from OpenAlex

En este trabajo se aportan nuevos datos sobre el balance hidrico del acuifero detritico de La Vega de Granada a partir de los resultados obtenidos con la realizacion de un modelo de flujo en dos dimensiones y en regimen transitorio. El modelo ha sido calibrado y validado satisfactoriamente y arroja unos valores de recursos medios anuales de 132 hm3, cifra que queda por debajo de la propuesta por otros autores.Asimismo, se observa una tendencia descendente durante los ultimos 50 anos en los aportes al acuifero justificada por la menor recarga que se produce a partir del retorno de riegos debido a la sustitucion de los campos de cultivo por zonas urbanizadas. La explotacion del acuifero mediante bombeos no refleja, sin embargo, una tendencia paralela en este mismo periodo de tiempo.

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)0.007
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.337

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.010
GPT teacher head0.208
Teacher spread0.199 · 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 designSimulation or modeling
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
Published2013
Admission routes2
Has abstractyes

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