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Record W3084295964 · doi:10.11575/prism/24746

A geophysical study of alpine groundwater processes and their geologic controls in the southeastern Canadian Rocky Mountains

2017· dissertation· en· W3084295964 on OpenAlexaboutno aff
Craig W. Christensen

Bibliographic record

VenuePRISM (University of Calgary) · 2017
Typedissertation
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGroundwaterGeologyGeophysicsEarth sciencePhysical geographyGeographyGeotechnical engineering

Abstract

fetched live from OpenAlex

Groundwater storage is essential for maintaining steady stream flows and temperatures in mountain watersheds, yet catchment-scale hydrogeological processes remain poorly understood. This study characterizes the hydrogeology of a new site in Kananaskis Valley of southeastern Canadian Rocky Mountains. Three different geophysical methods (electrical resistivity tomography, seismic refraction tomography, and ground penetrating radar) imaged structures such as thick, heterogenous talus, permafrost, and a buried overdeepening. Bedrock topography, overburden heterogeneity, and overburden thickness are the most important controls on groundwater flow paths and storage, and may explain anomalously high winter base flows at the site. Comparing the talus deposits to those at a contrasting site in Yoho National Park points to a causal link between hydrogeological characteristics and physiographic variables, hinting at possible spatial patterns in groundwater storage potential. These results will help water resource and ecosystem managers in adapting to stream flow changes resulting from climate change.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.194
Teacher spread0.184 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations4
Published2017
Admission routes1
Has abstractyes

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