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Record W2146457899 · doi:10.1029/2008eo340003

Understanding Slow Slip, Tremor, and Quakes: Aseismic Slip, Tremor, and Earthquakes Workshop; Sidney, British Columbia, Canada, 25–28 February 2008

2008· article· en· W2146457899 on OpenAlexaffabout
Joan Gomberg, A. M. Tréhu, Evelyn Roeloffs, H. Dragert

Bibliographic record

VenueEos · 2008
Typearticle
Languageen
FieldComputer Science
TopicSeismology and Earthquake Studies
Canadian institutionsGeological Survey of Canada
Fundersnot available
KeywordsSeismologySlip (aerodynamics)Episodic tremor and slipGeologySeismic hazardGeodetic datumTectonicsForensic engineeringSubductionEngineeringGeodesy

Abstract

fetched live from OpenAlex

The frequent occurrence and importance of slow slip and tremor have only recently become apparent, owing largely to advances in seismic and geodetic monitoring. At some plate boundaries, slow slip relaxes a significant fraction of accumulated tectonic stress. The radiation of seismic waves as tremor, which often accompanies the geodetically detected slow slip, arises from underlying physical processes that are poorly understood but appear to differ from those governing earthquake‐generated waves. To further understanding of aseismic slip, tremor, and earthquakes, more than 52 participants contributed to a workshop with the goals of improving research coordination, assessing the earthquake hazard implications, and identifying ways to capitalize on the education and outreach opportunities these phenomena present.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.549
Threshold uncertainty score0.898

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.003

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 head0.040
GPT teacher head0.203
Teacher spread0.163 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2008
Admission routes2
Has abstractyes

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