Magnetotelluric imaging beneath the Taiwan orogen: An arc‐continent collision
Bibliographic record
Abstract
The Taiwan orogen has formed since the late Miocene by oblique collision between the Luzon Volcanic Arc on the Philippine Sea Plate, and the Eurasian continental margin. This oblique collision has produced an orogen that decreases in age from north to south, and permits study of the temporal evolution of an arc‐continent collision. These factors make Taiwan a favorable location to study the process of arc‐continent collision. The first long‐period magnetotelluric (MT) measurements were recorded in Taiwan as part of the Taiwan Integrated Geodynamics Research (TAIGER) project in 2006–7. Measurements were made at 82 sites on three transects across south, central and north Taiwan, that span the breadth of the orogen and cross all major tectonic boundaries. Robust, remote reference processing of the MT time series data resulted in high‐quality soundings that were modeled in both 2 and 3‐dimensions. These MT models support predictions of lithospheric deformation (i.e., thick‐skinned tectonics) beneath the Central Ranges in south and central Taiwan, but are inconsistent with predictions of orogen‐scale thin‐skinned models. The MT resistivity model for northern Taiwan is consistent with dewatering of the subducting Philippine slab, and with deformation described by the subducting‐indenter tectonic model. Modeling the TAIGER MT data has definitively shown that conductive, and seismically active crustal structures, exist to 30+ km beneath the orogen. These conductive regions, interpreted as interconnected fluid, map pervasive zones of collisional deformation that are lithospheric in scale.
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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 | 0.000 | 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) | 0.000 | 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 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".