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Record W6910381446 · doi:10.4231/d3cj87m40

The Alternative Characteristic (AC) Model as Implemented for the BC Hydro SSHAC 3 Seismic Source Model

2014· article· en· W6910381446 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTexas Advanced Computing Center · 2014
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMagnitude (astronomy)Source modelRange (aeronautics)Margin (machine learning)Ground motionExponential functionEvent (particle physics)Earthquake prediction

Abstract

fetched live from OpenAlex

Magnitude-frequency recurrence models have long been a subject of seismological interest, and are a critical component of PSHA, since earthquake rates determine ground motion exceedance rates. While varieties of the Gutenberg-Richter (GR) truncated exponential recurrence model have long been verified and applied in many cases, it has been recognized that rates of larger earthquakes, based on historical occurrence and/or paleoseismic studies, sometimes show higher rates than the GR model predicts from smaller-magnitude events. A “characteristic” recurrence model accounting for such observations was published in 1985 by Youngs and Coppersmith, where “characteristic” refers to the larger earthquakes occurring at a higher-than-GR rate. This model is commonly used as an alternative to the GR model in PSHA studies, and is strictly defined: an exponential portion for smaller magnitude events, and a single rate for “characteristic” larger-magnitude events over a range of 0.5 magnitude unit that is dependent on properties of the exponential portion. Examination of observed earthquake recurrence in the areal zones of the BC Hydro PSHA seismic source model showed that several zones exhibited patterns similar to the 1985 characteristic model. These zones were the Puget Lowlands, Intermountain Seismic Belt, Olympic Peninsula and Southern Coastal Margin (predominantly Vancouver Island). Attempts to fit the observed earthquake recurrence to the standard 1985 characteristic model were unsuccessful. Therefore an effort to qualitatively fit these data to a functional form similar to the incremental form of the 1985 model was made by experimenting with different functional forms for the “characteristic” part of the 1985 model. The best fit was found by changing the slope of the characteristic part from zero (flat) to 0.3, and increasing its width from 0.5 to 1.0 magnitude units. An additional parameter allows the fraction of the total moment rate in the exponential and characteristic parts of the curve to be specified. For the four areal zones examined, the fraction assigned to the characteristic part ranged from 0.94 to 0.98. For use in the BC Hydro PSHA an average value of 0.96 was used. Termed the alternative characteristic (AC) model, it was applied to each areal zone in the seismic source model, with a weight influenced by whether paleoseismic information already existed to more reliably constrain the rates of large-magnitude events, or whether rates of historic seismicity tended to be approximately consistent with it. If these bases did not exist, it was weighted equally with the GR model.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.745
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.251
Teacher spread0.240 · 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