contain nearly the entire margin of the Pacific
Bibliographic record
Abstract
the boundary of Cascadia has shrunk to become essentially synonymous with the region where the Juan de Fuca plate subducts beneath the North American plate. As a consequence, seismic hazard assess-ments in the Pacific Northwest have conven-tionally focused on the potential for large megathrust earthquakes along the interface of the Juan de Fuca and North American plates. The 28 October 2012 M 7.8 Haida Gwaii earthquake (Figure 1), however, suggests that the northern terminus of subduction along the Cascadia margin may need to be redefined; such a redefinition has ramifica-tions for seismic hazard analysis along the entire west coast of the United States and Canada. Tectonic Setting of Northern Cascadia Off the coast of northern British Columbia, subduction of the Juan de Fuca plate beneath the North American plate gives way to a transform fault between the Pacific plate and North American plate: the Queen Charlotte fault system (QCF). This fault system extends northward from the Explorer plate, a microplate chipped off the Juan de Fuca plate, to Baranof Island, Alaska, where it transitions into the Fairweather fault and related structures (see Figure 1). Over the past century, these fault systems have hosted several large earthquakes, including the 1899
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 0.006 |
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".