Bibliographic record
Abstract
<!--!introduction!--> Detailed knowledge about the location and properties of the structures that host the megathrust is required to predict ground motions, model tsunami hazards and better understand subduction zone processes in Cascadia. Here we present our efforts to bring forward a new, detailed slab model based on azimuthally variable receiver functions from almost 300 on-shore 3-component broadband seismic stations. We observe a characteristic succession of a negative top-, a positive central- and the positive oceanic Moho-conversion, where either the top or central conversion may be absent. We interpret it as the subducting oceanic crust that is at places overlain by, or contained within, a low-velocity zone. Inverse modeling of synthetic receiver functions allows us to resolve the strike and dip of this structure, the interface depths and seismic velocities of the intervening material along the fore-arc. The top conversion exhibits a progressive landward evolution displaying (i) a weak contrast with overriding crust near the coast, (ii) full expression with the development of an upper low-velocity zone downdip, and (iii) disappearance in advance into the fore-arc, where the oceanic crust is inferred to turn to eclogite. The thickness of the entire structure frequently exceeds the thickness of the oceanic crust offshore. At depth, the location of the central converter approximately correlates with the location of low-frequency earthquakes. These observations suggest that the subduction megathrust either continues downdip, a few kilometers below the top conversion, or widens into a distributed shear zone that includes upper plate material.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".