Pacific Coast Seismic Assessment for Faults and Earthquakes
Bibliographic record
Abstract
A 5-year program to study earthquake hazards offshore of Canada's Pacific Coast using broadband ocean-bottom seismometers. Data will be collected in a series of approximately 1-year deployments of 25-30 sensors, with the array moving to a different target area each year. The project is supported by an NSERC Alliance grant partnership between the University of British Columbia, Dalhousie University, the University of Victoria, and Natural Resources Canada. The research enabled by this academic-NRCan partnership will lead to new scientific insights into the ways plate tectonic forces shape the deformation and evolution of faults offshore BC and accurate assessments of seismic, tsunami and submarine landslide hazards in Canadian Pacific territorial waters. This information will be incorporated in future National Seismic Hazard Models by NRCan through its Public Safety Geoscience program. The National Seismic Hazard Model underpins the National Research Council's National Building Code which communicates seismic risk and resistance design requirements to multiple stakeholders (e.g., emergency management planners, provincial regulators, municipal building inspectors, engineers, contractors, architects, community groups) for the benefit of all Canadians, including those living on the west coast.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.014 |
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".