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Record W2160154808 · doi:10.1071/eg07027

3D Modelling of Banded Iron Formation incorporating demagnetisation – a case study at the Musselwhite Mine, Ontario, Canada

2007· article· en· W2160154808 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueExploration Geophysics · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsBarrick Gold (Canada)
FundersBarrick Gold Corporation
KeywordsGeologyBanded iron formationDrillInterpretation (philosophy)GeophysicsMagnetic susceptibilityMagnetic anomalyMining engineeringMagnetic surveyGeochemistrySeismologyMaterials scienceArcheanComputer scienceMetallurgy

Abstract

fetched live from OpenAlex

Three-dimensional (3D) high-susceptibility tabular models of Banded Iron Formation (BIF) were built for the area of an aeromagnetic survey at the Musselwhite Mine, Ontario. The study used all available drill information to create geologically plausible models built from a central axis of nodes with geometrical and susceptibility attributes assigned to each node. The forward total magnetic intensity was then computed using an algorithm that includes a calculation for the demagnetisation effect. The model-building process greatly enhanced the understanding of the BIF geometry and demonstrated the importance of the interaction of these strongly magnetic units with the Earth’s magnetic field. As BIF is associated with mineralisation at the mine, the interpretation of the observed magnetic anomalies has strong implications for target generation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.439

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.227
Teacher spread0.189 · 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