Développement d'un système d'alerte précoce pour les tremblements de terre du Québec
Bibliographic record
Abstract
Several regions of the world already have or are in the process of developing an early warning system (EWS) for earthquakes. As is well known, earthquakes cannot be predicted in the short term. However, an EWS is based on the principle that when a strong earthquake occurs, the initial seismic waves detected by seismographs near the epicentre can be quickly analysed. Once analyzed automatically, an alarm signal can be sent to more distant areas before damaging seismic waves arrive. This alert can then be used to take action before the seismic waves arrive (such as stopping industrial activities for example). In Canada, these technologies are being developed for the Pacific region and Eastern Canada. Quebec is particularly interesting because earthquakes of magnitude 5 are felt at great distances, which increases the warning time when an earthquake occurs. Natural Resources Canada (NRCan) will lead this initiative, in partnership with provincial collaborators. The private sector will also be involved through the development of software and applications. NRCan is therefore reaching out to potential partners in such an earthquake warning system.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".