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Record W4285289215 · doi:10.3997/2214-4609.202210294

Inversion of Airborne Data for Three-Dimensional Conductivity, Chargeability, and Magnetic Properties Models in Wawa, Ontario, Canada.

2022· article· en· W4285289215 on OpenAlex
Leif H. Cox, Michael R. Jorgensen, Michael S. Zhdanov, D. Pitcher, Jeremy Niemi

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue83rd EAGE Annual Conference & Exhibition · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsnot available
Fundersnot available
KeywordsInversion (geology)GeologyMagnetic surveyMagnetizationConductivityGeophysicsMagnetic anomalyRemanenceDrillingRemote sensingMineralogyMagnetic fieldSeismologyMaterials sciencePhysics

Abstract

fetched live from OpenAlex

Summary Modern airborne surveys simultaneously collect electromagnetic (EM) and total magnetic intensity (TMI) data. Three-dimensional inversion of all collected data provides important information about the geology in the survey area. In this paper, we present the results of the inversion of VTEM and TMI data collected over the Echum Project Area, 54 km ENE of Wawa in Northwestern Ontario, Canada. We have inverted the VTEM dB/dt data into 3D conductivity and chargeability models and the TMI data into both 3D magnetic susceptibility and 3D magnetization vector (remanent magnetization) models. Obtaining multiple 3D physical properties models from a single airborne geophysical survey maximizes the data value and provides more intuitive interpretation than using data maps and other transformed products. Several drilling targets were developed based on the results of this 3D interpretation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.087
GPT teacher head0.245
Teacher spread0.157 · 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