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Record W2974893746 · doi:10.1002/9781119434412.ch2

Interpolating Geomagnetic Observations

2019· other· en· W2974893746 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGeophysical monograph · 2019
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsSpherical harmonicsEarth's magnetic fieldInterpolation (computer graphics)Multivariate interpolationKrigingBarycentric coordinate systemSpherical capRadial basis functionInversion (geology)GeophysicsAlgorithmBilinear interpolationComputer scienceMathematicsApplied mathematicsGeologyPhysicsMathematical analysisGeometryArtificial intelligenceStatisticsSeismology

Abstract

fetched live from OpenAlex

Five geomagnetic vector interpolation techniques are reviewed and compared by analyzing their performance when applied to realistic inputs simulated by a state-of-the-art geospace general circulation model. The availability of synthetic “ground truth” allows meaningful estimates of relative interpolation error as a two-dimensional function of separation between geographically sparse input coordinates. Three of these techniques – nearest neighbor, triangular barycentric, and Gaussian Process regression – are entirely based on the input data, and do not benefit from any knowledge of physics that might improve predictions in unsampled regions. Two of the techniques – spherical cap harmonic analysis and spherical elementary current system inversion – incorporate simple physical understanding into their basis functions and generally provide better predictions even when far removed from input measurements. Spherical elementary currents generate fewer interpolation artefacts in the spatial domain.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.697
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.006

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 head0.019
GPT teacher head0.225
Teacher spread0.206 · 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