Ground motions in Yukon from the Tatshenshini-Alsek Park earthquakes of 2017 compared to 2015 Canadian seismic design levels
Bibliographic record
Abstract
The two magnitude 6 earthquakes on May 1, 2017 were felt in the regions of Haines Junction and Whitehorse, YT and minor damage was reported. Five-percent damped spectral accelerations calculated from a seismograph situated near Haines Junction suggest that the first event had stronger ground motions than the second, even though the second had the larger magnitude. In Haines Junction, spectral accelerations reached approximately 1 % to 7.5 % of the 2015 seismic hazard design values (e.g. 3 % at 0.2 s). While the seismograph in Whitehorse was not operational at the time, the predicted motions from the event reached 5 % to 22 % of the design values (e.g. 12 % at 0.2 s for the first event). The higher percentages are largely due to the lower seismic hazard design values for Whitehorse. The results in this work are given for firm ground conditions (site class C), and varying local conditions could amplify or reduce these values.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".