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Record W2981943474 · doi:10.4095/293700

Time-domain electromagnetic data for the Spiritwood valley aquifer, Manitoba

2014· report· en· W2981943474 on OpenAlexaffabout
Greg A. Oldenborger, Kevin Brewer

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsAquiferDomain (mathematical analysis)Hydrology (agriculture)GeologyGroundwaterEnvironmental scienceGeotechnical engineeringMathematics

Abstract

fetched live from OpenAlex

This Open File reports on recent time-domain electromagnetic geophysical data collected and processed by the Geological Survey of Canada as part of the Aquifer Assessment and Support to Mapping project within the Groundwater Geoscience Program. A 1062 km2 area of the Spiritwood valley aquifer in southern Manitoba has been developed as a site for testing the application of airborne electromagnetics and other surface and downhole geophysical methods for regional mapping and characterization of buried valley aquifers in Canada. In November of 2013, time-domain electromagnetic soundings were performed at selected sites to better constrain the airborne results. One-dimensional modelling and inversion of the data show marked variability in the data and the resistivity models between different geological settings. In particular, depth to bedrock is clearly resolved in the models and the incised buried valley interpreted from the regional airborne survey is associated with a relatively strong resistive anomaly indicative of coarser grained material or a high-potential aquifer.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.670
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.052
GPT teacher head0.284
Teacher spread0.232 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2014
Admission routes2
Has abstractyes

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