Regional geoelectrical complexity of the Western Canada Basin from magnetotelluric tensor invariants
Bibliographic record
Abstract
Magnetotelluric data from 323 sites in the Western Canada Basin have provided impedance tensors from which invariants based on Mohr circle analysis are calculated. From thresholds determined from an initial examination of the data, the invariant responses are used to explore the dimensionalities of subsurface structures. This leads to a classification of the electrical structure of the region with respect to dimensionality wherein zones with sites of similar nature are delineated, and demonstrates that the invariants can be used as a dimensionality indicator to infer regional geoelectrical complexity. It is observed that the dimensionality appears to increase with period and this result is consistent with the response from sounding a zone of increasing areal extent and may indicate more laterally complex structure at depth, but may also be due to fundamental limitations of galvanic distortion analysis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".