Lithospheric anisotropy structure inferred from collocated teleseismic and magnetotelluric observations: Great Slave Lake shear zone, northern Canada
Bibliographic record
Abstract
Accurate interpretation of SKS shear‐wave splitting observations requires inherently indeterminate depth information. Magnetotelluric electrical anisotropies are depth‐constrained, and thereby offer possible resolution of the SKS conundrum. MT and teleseismic instruments, deployed across the Great Slave Lake shear zone, northern Canada, investigated lithospheric anisotropy and tested a hypothesis that seismic and electrical anisotropy obliquity can infer mantle strain shear‐sense. Lithospheric mantle MT strike (N60°E) differs significantly from crustal MT strike (N30°E). SKS splitting vectors outside the shear zone exhibit single‐layer anisotropy with fast axis parallel to upper‐mantle MT strike and oblique to present‐day plate motion (N135°W). Back‐azimuth sensitivity at sites within the ∼30 km wide shear‐zone imply more complex layering, with two‐layer inversion yielding an upper layer of ∼N20°E and a lower layer of ∼N66°E. The MT data help to constrain the depth location of SKS anisotropy and, taken together, support a model of fossil lithospheric anisotropy.
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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 | 0.001 |
| 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) | 0.001 | 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 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".