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Record W2981644229 · doi:10.4095/226354

Probabilistic seismic hazard maps for Albania

2004· report· en· W2981644229 on OpenAlex
Shyqyri Aliaj, J Adams, S Halchuk, E. Sulstarova, V. Peçi, Betim Muço

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsProbabilistic logicHazardSeismologySeismic hazardGeologyComputer scienceGeographyArtificial intelligence

Abstract

fetched live from OpenAlex

Albania is a Balkan country with high rate of seismicity, and earthquake risk reduction has been an important, on-going socioeconomic concern. We adapt the experience and methods used for Canadian seismic hazard maps to present, for the first time, probabilistic spectral hazard maps for Albania. A revised catalogue of Albanian earthquakes, from 58 A.D. to 2000, with magnitude Ms>4.5 in the region between 39/N and 43/N and 18.5/E and 21.5/E was used in this study. Ten seismic source zones are used to define the seismicity. We have used the Ambraseys et al. (1996) strong ground motion relations for rock to produce 5% damped spectral acceleration values at 0.2, 0.5, 1.0 and 2.0 seconds (as well as peak ground acceleration) for a return period of 0.0021 per annum (equivalent to a 10% chance of non-exceedence in 50 years). The four spectral parameters maps will allow the construction of site-specific Uniform Hazard Spectra for all of Albania, and are suggested as the basis of the next version of the KTP-N.2-89 Technical Aseismic Regulations to improve earthquake-resistant design code in Albania.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.741
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.021
GPT teacher head0.249
Teacher spread0.228 · 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

Quick stats

Citations60
Published2004
Admission routes2
Has abstractyes

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