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Record W2792689558 · doi:10.4095/286056

Airborne time-domain electromagnetic data for mapping and characterization of the Spiritwood Valley aquifer, Manitoba, Canada

2010· report· en· W2792689558 on OpenAlexaffabout
Greg A. Oldenborger, A J -M Pugin, M J Hinton, Samantha Pullen, H A J Russell, D R Sharpe

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeologyAquiferElectromagneticsTime domainLevellingSeismologyRemote sensingGeomorphologyHydrology (agriculture)GroundwaterGeotechnical engineeringGeodesyEngineering

Abstract

fetched live from OpenAlex

A helicopter-borne, time-domain electromagnetic survey was flown over a 1062 km2 area of the Spiritwood Valley in southern Manitoba. The objective was to test the effectiveness of commer-cial, airborne, time-domain electromagnetics for mapping and characterizing buried valley aquifers in the Canadian Prairies. The preliminary data exhibit rich information content, but show some levelling bias and potential limitations of dynamic range or bandwidth. Time slices of the magnetic field decay clearly map the broader Spiritwood Valley in addition to a continuous, incised valley along the broader valley bottom. The data indicate a complex valley morphology with nested scales of valleys, including at least three dis-tinct valley features and multiple possible tributaries. Time-domain electromagnetic response magnitude and decay rates indicate that the fill material within the incised valleys is more resistive than the broader valley fill, consistent with an interpretation of sand and gravel. The electromagnetic data are in excellent agreement with seismic reflection data collected inside the survey block. Further ground-based investiga-tion and data integration is planned. These preliminary results suggest that time-domain electromagnetic surveys have the potential for mapping buried valley aquifers in the Canadian Prairies in far greater detail that any previous techniques.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.953
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.228
Teacher spread0.199 · 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 designOther design
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

Citations15
Published2010
Admission routes2
Has abstractyes

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