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Record W2319378692 · doi:10.1785/0220140008

Two Moderate Earthquakes near Montreal: 10 October and 6 November 2012

2014· article· en· W2319378692 on OpenAlexfundaboutno aff
A L Bent, V. Peçi, S Halchuk, Sylvia Hayek

Bibliographic record

VenueSeismological Research Letters · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicearthquake and tectonic studies
Canadian institutionsnot available
FundersNatural Resources Canada
KeywordsSeismologyGeology

Abstract

fetched live from OpenAlex

On 10 October 2012 a moderate, Nuttli magnitude ( M N) 4.5, earthquake occurred in the Montreal region. Although it did not cause any damage, it was felt throughout the region and at distances to a few hundred kilometers. The earthquake was very well recorded by seismographs at regional distances, allowing its source parameters (such as focal mechanism and depth) to be determined. Both the regional moment tensor inversion and first‐motion methods indicate predominantly thrust faulting on a northwest‐striking plane, which is typical of the west Quebec seismic zone. A depth of 13–15 km was indicated by the regional moment tensor inversion and by the regional depth phase method. The moment magnitude of 3.7 is slightly smaller than would be expected based on the average M N− M w relation but is well within the range of observed values for previous earthquakes. More than 10,000 felt reports were received via an Internet “Did You Feel It?” page. A few weeks later, on 6 November 2012, another moderate ( M N 4.2, M w 3.9) earthquake occurred in the west Quebec seismic zone but in a different location, near the Quebec–Ontario border. This event also had a northwest predominantly thrust mechanism. Depths obtained by regional moment tensor and depth phase methods were both in the 6–8 km range. Over 2500 online felt reports were received. The earthquakes provided a successful test of recent changes made to handle high volumes of Internet traffic that typically occur after a significant earthquake felt in a large, urban area.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.053
GPT teacher head0.299
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2014
Admission routes2
Has abstractyes

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