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Record W2508709468

Direct-seismogram inversion for receiver-side structure with unknown source-time functions

2015· article· en· W2508709468 on OpenAlexaffabout
Jan Dettmer, Stan E. Dosso, Thomas Bodin, Josip Stipčević, Phil R. Cummins

Bibliographic record

VenueAGU Fall Meeting Abstracts · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSeismogramGeologyNational laboratorySolid earthHumanitiesLibrary scienceGeophysicsSeismologyEngineering physicsArtPhysicsComputer science
DOInot available

Abstract

fetched live from OpenAlex

Jan Dettmer,1,2 Stan E. Dosso,1 Thomas Bodin,3,4 Josip Stipcevic2,5 and Phil R. Cummins2 1School of Earth and Ocean Sciences, University of Victoria, Victoria BC, Canada. E-mail: jand@uvic.ca 2Research School of Earth Sciences, Australian National University, Canberra ACT, Australia 3Berkeley Seismological Laboratory, 215 McCone Hall, UC Berkeley, Berkeley CA 94720-4760, USA 4Laboratoire de Geologie de Lyon, Ecole Normale Superieure de Lyon, Universite de Lyon-1, CNRS, F-69364 Lyon Cedex 07, France 5Department of Geophysics, Faculty of Science, University of Zagreb, Zagreb, Croatia

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.210
Teacher spread0.194 · 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 designSimulation or modeling
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

Citations0
Published2015
Admission routes2
Has abstractyes

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