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Record W1614644012 · doi:10.1029/2002gc000353

Paleosecular variation of brunhes age lava flows from British Columbia, Canada

2002· article· en· W1614644012 on OpenAlexaffabout
V. Mejia, René W. Barendregt, Neil D. Opdyke

Bibliographic record

VenueGeochemistry Geophysics Geosystems · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGeomagnetism and Paleomagnetism Studies
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsLavaGeologyPaleomagnetismGeomagnetic poleVolcanoSecular variationDemagnetizing fieldEarth's magnetic fieldPaleontologySeismologyGeomorphologyGeophysicsMagnetic field

Abstract

fetched live from OpenAlex

Brunhes age lava flows have been sampled for paleosecular variation studies from several volcanic fields of southern British Columbia (Silverthrone, Garibaldi Lake, Mt. Meager, Clearwater‐Wells Gray Park and Kelowna area). A total of 52 lava flows were sampled and 7 to 10 samples were drilled at each site. Previous radiometric studies indicate that the ages of these lava flows range from 2.3 to 760 Ka. Stepwise thermal demagnetization (14 to 21 steps) was carried out for all the samples in each site and AF demagnetization was performed on one sample per site. Forty‐five sites were selected based on rigorous criteria (α95 ≤ 5°) to calculate a mean direction (D = 356.9°, I = 70.2°, α95 = 2.8°) that is statistically indistinguishable from the direction of the dipole field at the area (I = 68.3°). Virtual geomagnetic poles (VGPs) do not show the far‐sided effect and the angular standard deviation is 17.5°, a value in agreement with the paleomagnetic field dispersion for that latitude. These high quality results are expected to improve the time averaged field (TAF) and secular variation models.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.161
Teacher spread0.156 · 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 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

Citations83
Published2002
Admission routes2
Has abstractyes

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