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Record W2196050762

Hydrostratigraphy of the Paris Moraine in the Guelph Area, Ontario, Canada

2015· dataset· en· W2196050762 on OpenAlexfundaboutno aff
Andrew Trapp

Bibliographic record

VenueMacSphere (McMaster University) · 2015
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsnot available
FundersMcMaster UniversityNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Agriculture, Food and Rural AffairsMcGill University
KeywordsMoraineGeographyArchaeologyPhysical geographyGlacier
DOInot available

Abstract

fetched live from OpenAlex

Many growing southern Ontario communities, including Guelph, rely on fractured bedrock aquifers for drinking water. Contamination and overexploitation pose a threat to these water resources, necessitating characterization of vulnerability, risks, and recharge areas. Quaternary sediments southeast of the City of Guelph, including the Paris Moraine, were investigated in order to delineate hydrostratigraphy. This was achieved through study of 9 cored-holes, as well as existing MOE, GRCA, and University of Guelph data. Falling head permeameter measurements and empirical grain-size distribution measurements and analysis were employed for determination of 𝐾𝑠𝑎𝑡 values, which were used to construct a hydrostratigraphy. Of 19 methods evaluated, The Kozeny-Carman empirical grain-size method for determining 𝐾𝑠𝑎𝑡 was found to be more representative of measured values for the study area. The area is dominated by a conductivity regime of 2.72x10-7 – 1.40x10-6 m/s with local heterogeneity present on the scale of 10’s to 100’s of meters. The Paris Moraine, particularly its backslope, is at higher risk due to its relatively high conductivity, greater occurrence of aquifer units, as well as prevalence of small-scale topographic (hummocky topography), and bedrock topographic lows.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.194
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0830.000

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 head0.018
GPT teacher head0.167
Teacher spread0.150 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations1
Published2015
Admission routes2
Has abstractyes

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