Crustal and upper mantle structure of northern Tibet imaged with magnetotelluric data
Bibliographic record
Abstract
Magnetotelluric (MT) data were collected in northern Tibet along the Amdo to Golmud highway during the 1995 and 1999 Project INDEPTH (International Deep Profiling of Tibet and the Himalaya) surveys. Broadband and long period MT data were collected and the TE‐mode, TM‐mode and vertical magnetic field data were inverted to yield a minimum structure, two‐dimensional resistivity model. The model obtained from inverting all responses simultaneously shows that a pervasive midcrustal conductor extends from the Kunlun Shan to the Bangong‐Nuijiang suture. The vertically integrated conductivity (conductance) of this crustal layer is greatest in the northern Qiangtang terrane at latitude 34°N. The electrical resistivity of the upper mantle is constrained by the MT data to be in the range of 10–30 Ωm across the Songpan‐Ganze and Qiangtang terranes. This is lower than would be expected if Asian lithosphere underthrusts northern Tibet as far as the Qiangtang terrane. The MT responses are more consistent with a model in which Asian lithosphere extends as far south as the Kunlun Shan, and the upper mantle beneath the Songpan‐Ganze and Qiangtang terranes is sufficiently hot to contain a small fraction of interconnected partial melt.
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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 | 0.000 | 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 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".