Focal depth of earthquakes of the St. Lawrence Valley based on crustal phases recorded within 100 km epicentral distance
Bibliographic record
Abstract
We have computed the focal depth of 53 earthquakes of the St. Lawrence Valley (defined as latitudes 45oN to 47oN and longitudes 70oW to 75oW) between Montreal and Quebec City using a minimum of six Pg and Sg phases from three seismograph stations or more located within 100 km of each epicentre. In addition, the epicentre had to be within the polygon defined by the seismograph stations (i.e. the azimuthal gap had to be less than 180o). Although all 607 events of the period 1980-2015 inclusively were considered, the majority of selected events were in the period 2013-2015 when the USARRAY stations occupied the region of interest. Computer scripts were written to select phases, stations and solutions that met our criteria. All resulting hypocentres locate between 10 and 21 km focal depth. Only 2 % of the 607 events had an Rg phase that suggests a focal depth of less than 5 km. Together with hypocentres computed with other methods such as the Regional Crustal Depth Determination, these new hypocentres help determine the crustal levels susceptible to fault reactivation.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".