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A study of the uppermost inner core from<i>PKKP</i>and<i>P</i>′<i>P</i>′ differential traveltimes

2004· article· en· W2122484400 on OpenAlexaboutno aff
Sebastian Rost, Edward J. Garnero

Bibliographic record

VenueGeophysical Journal International · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsnot available
Fundersnot available
KeywordsInner coreGeologyDifferential rotationOuter coreIsotropyAnisotropyMantle (geology)Core (optical fiber)GeodesyDifferential (mechanical device)PolarPerpendicularStructure of the EarthGeophysicsGeometryPhysicsMathematicsOpticsAstronomy

Abstract

fetched live from OpenAlex

We have assembled a data set of PKKPdf−PKKPbc (PKKPdf−bc) and PKPPKPdf-PKKPbc differential traveltimes. This data set is used to study the Earth's uppermost inner core in the western hemisphere. Data from the eastern Pacific are recorded at the Canadian Yellowknife array and travel through the inner core twice, once perpendicular to the Earth's rotation axis and once parallel to the rotation axis. Our polar paths sample a similar region to paths from the South Sandwich Islands to Alaska, an important path geometry for inner core anisotropy studies. Our data set has the potential to be an independent source of information on the structure of the inner core, and to be a good supplement to past PKP studies. Differential time residuals (relative to isotropic inner core models) of up to several seconds are found. The differential traveltimes show significant scatter (up to 6 s) making it difficult to attribute them to inner core anisotropy alone. Alternatively, strong heterogeneity in the inner core and along the mantle paths may contribute to observations.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.902

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)0.0010.000

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 head0.014
GPT teacher head0.226
Teacher spread0.211 · 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.

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

Citations13
Published2004
Admission routes1
Has abstractyes

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