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Record W6944091602 · doi:10.17632/stbtg4hnv9

Scripts for calculating groundwater recharge via a stochastic vadose zone water budget

2024· dataset· en· W6944091602 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMendeley Data · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsGroundwater rechargeVadose zoneEvapotranspirationHydrology (agriculture)GroundwaterPrecipitationWater balanceRange (aeronautics)

Abstract

fetched live from OpenAlex

This archive contains code related to the Open Source scientific computation software GNU Octave for a stochastic vadose zone water budget. A range of groundwater recharge estimates is generated using a Monte Carlo approach based on stochastic spatiotemporal rainfall variability and empirically-derived temporal evapotranspiration variability. This project is useful for calculating the uncertainty in recharge rates due to spatiotemporal variability in rainfall and annual variability in actual evapotranspiration. Including the spatial/temporal variability in rainfall reduces the uncertainty in precipitation and therefore uncertainty in recharge for a multi-decade water budget.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.104
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0050.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.106

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 head0.079
GPT teacher head0.332
Teacher spread0.253 · 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

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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