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Record W4411133890 · doi:10.1111/gwat.13496

Saline Groundwater for Aquaculture: An Expanding Hydrogeological and Hydrogeophysical Frontier

2025· article· en· W4411133890 on OpenAlexafffund
Barret L. Kurylyk

Bibliographic record

VenueGround Water · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsDalhousie University
FundersCanada Research ChairsDalhousie UniversityFlinders University
KeywordsHydrogeologySaltwater intrusionGroundwaterEnvironmental scienceAquiferAquacultureWater resource managementHydrology (agriculture)GeologyFisheryFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Given the chronic and multi-faceted challenges of marine aquaculture, there is growing interest in land-based aquaculture supported by high-capacity saltwater wells. These wells can theoretically provide a stable, high-quality source of saline groundwater for aquaculture tanks. In this Issue Article, I focus on saltwater wells installed in the salt wedges of coastal aquifers and argue that these wells could benefit or harm local homeowners or municipalities relying on nearby freshwater wells. More research in the fields of hydrogeophysics and physical and contaminant hydrogeology is critically needed to better understand how high-capacity saltwater wells may impact coastal aquifers and groundwater-dependent communities. Such work is crucial for informing the development of scientifically based regulations for the management of these wells and related aquaculture operations. Appropriate regulations would protect coastal communities, ecosystems, and industrial operators from potentially negative impacts of saltwater wells and would help to maximize their potential benefits.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0050.005
Open science0.0010.004
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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