Magnetotelluric Exploration in the Rocky
Bibliographic record
Abstract
2 A magnetotelluric (MT) survey was carried out to test the possibility of imaging the complex geological structures in the Rocky Mountain Foothills with this geophysical method. This thesis provides a brief introduction to the geological structure of the Rocky Mountain Foothills and the magnetotelluric method. Details of the MT data acquisition, processing, modeling and interpretation are then described. Magnetotelluric data were collected at a total of 26 stations in 2002. The Time series were processed using standard techniques with a remote magnetic reference. The Tensor decomposition technique was used to analyze the dimensionality of the MT data, and the static shifts were corrected. The frequency domain apparent resistivity and phase data were then converted into a model of electrical resistivity and depth with a two dimensional inversion algorithm. The resistivity model shows that the Alberta Basin is characterized by low resistivity sedimentary rocks. These form the footwall of the Brazeau Thrust and extend 10 km west beneath the overthrust Paleozoic Carbonates. The geometry of the MT model agrees well with that derived from the seismic reflection data. The study shows that MT data is a useful tool for exploration in this environment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".