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Record W327778776 · doi:10.21236/ada417586

Third US-Japan Workshop on Advanced Research on Earthquake Engineering for Dams, San Diego, California, 22-23 June 2002

2003· report· en· W327778776 on OpenAlexaboutno aff
Robert L. Hall, Yoshikazu Yamaguchi, Enrique E. Matheu, Ziyad H. Duron

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicDam Engineering and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsEarthquake engineeringGeographyEngineeringLibrary scienceHistorySeismologyGeologyComputer science

Abstract

fetched live from OpenAlex

This report summarizes a workshop organized by the U.S. Army Engineer Research and Development Center (ERDC), Vicksburg, MS, and the Public Works Research Institute of Japan (PWRI) under the auspices of the Task Committee on Dams of the Panel on Wind and Seismic Effects, part of the U.S.-Japan Cooperative Program in Natural Resources. The workshop was held in San Diego, CA, 22-23 June 2002, as part of the preconference activities of the 22nd U.S. Society on Dams Annual Meeting and Conference held at the same location 24-28 June 2002. The Workshop provided a valuable forum for the exchange of technical information related to seismic evaluation criteria for dams, numerical techniques for seismic analysis, seismic design and evaluation of appurtenant structures, instrumentation, condition assessment, seismic upgrade and rehabilitation, foundation problems, case studies, as well as many other general topics of interest. The workshop was attended by 64 U.S. participants, 10 Japanese participants, and 16 participants from other countries (Canada, China, Colombia, Dominican Republic, New Zealand, Republic of Korea, Republic of Panama, and Spain).

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.566
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.050
GPT teacher head0.321
Teacher spread0.271 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2003
Admission routes1
Has abstractyes

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