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Record W2332237314 · doi:10.1071/aseg2006ab097

Field Tests of Geotech’s Airborne AFMAG EM System

2006· article· pt· W2332237314 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueASEG Extended Abstracts · 2006
Typearticle
Languagept
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsPetro Geotech (Canada)Thornhill Medical (Canada)
Fundersnot available
KeywordsTest siteRange (aeronautics)Remote sensingFixed wingElectrical conductorStructural basinMarine engineeringNoise (video)GeologyMeteorologyEngineeringEnvironmental scienceAerospace engineeringGeographyWingElectrical engineeringMining engineeringComputer scienceGeomorphology

Abstract

fetched live from OpenAlex

Geotech’s airborne Audio Frequency Magnetics (AFMAG) system was successfully flown in a helicopter towed bird configuration over selected test sites in Sudbury, Canada.Airborne trials were conducted over Vermillion Lake, the Trillabelle deposit, north range of the Sudbury Basin, and over the Reid-Mahaffy test site. The results over Reid-Mahaffy show that exploration sized targets can be detected while the conductors seen in the Sudbury trials show that larger, and regional conductors are detected as well.Research and development is underway to implement the system onto Geotech’s Grand Caravan, although the noise characteristics of a fixed-wing aircraft are challenging.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.001

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 head0.012
GPT teacher head0.236
Teacher spread0.224 · 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