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Record W2982145911 · doi:10.4095/223377

Aeromagnetics and gravity

2007· report· en· W2982145911 on OpenAlexaff
Mark Pilkington, F Dostaler, D Oneschuk

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeophysics and Gravity Measurements
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeologyGeodesy

Abstract

fetched live from OpenAlex

Residual Magnetic Field: This image shows the colour-coded map of the residual magnetic field. The image has a pixel size of 200m which results from gridding of the digititally acquired flight-line survey data. The two main aeromagnetic surveys covering this area were flown between 1975 and 1978. A flight-line spacing of 800 m and flight altitude of 305 m above ground was used in both cases. A later, smaller survey linking the Ungava peninsula and Baffin Island was flown in 1996. The International Geomagnetic Reference Field for the date and altitude of each survey has been removed. Vertical Gradient of Residual Magnetic Field: This image shows the colour-coded map of the vertical gradient of the residual magnetic field. The image has a pixel size of 200m which results from gridding of the digititally acquired flight-line survey data. The two main aeromagnetic surveys covering this area were flown between 1975 and 1978. A flight-line spacing of 800 m and flight altitude of 305 m above ground was used in both cases. A later, smaller survey linking the Ungava peninsula and Baffin Island was flown in 1996. The International Geomagnetic Reference Field for the date and altitude of each survey has been removed. Calculation of the vertical gradient of the residual magnetic field emphasizes the magnetic effects of near surface magnetic sources and suppresses the effects more deep-seated sources. Therefore, it is an effective way of highlighting those anomalies related to surface geological variations (lithological and structural). Compared to the residual magnetic field image, the vertical gradient image is more detailed - it contains more short-wavelength information. Bouguer Gravity Anomalies: This image shows the colour-coded map of the Bouguer gravity anomalies. The gravity data used to compile this map have a spacing of 10 km, on average. All measurements were reduced to the IGSN71 datum and theoretical gravity values were calculated from the Geodetic Reference System 1967 (GRS67) gravity formula. Bouguer anomalies were calculated using a vertical gravity gradient of 0.3086 mGalom-1 and a crustal density of 2 670 kgom-3. Areas on land are represented by Bouguer anomalies and areas offshore, by free-air anomalies. For this map, the data were gridded to a 2 km interval. The image grid has a 125-metre interval.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.050
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0500.009

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 head0.051
GPT teacher head0.259
Teacher spread0.208 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2007
Admission routes1
Has abstractyes

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