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Record W2002725103 · doi:10.3997/2214-4609.20140519

3D-3C Reflection Seismic Imaging of the Lalor VSM Deposit, Manitoba, Canada

2014· article· en· W2002725103 on OpenAlexaboutno aff
Gilles Bellefleur, Ernst Schetselaar, Khalid H. Miah, Don White

Bibliographic record

VenueProceedings · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyDioriteFelsicSeismologyBoreholeReflection (computer programming)Mineral explorationGeochemistryVolcanic rockMetamorphismVolcanoMining engineeringPaleontologyTectonics

Abstract

fetched live from OpenAlex

A 3D-3C seismic data set was acquired over the Lalor Lake VMS deposit, located near Snow Lake Manitoba, to provide images of the ore zones and host rocks, and to assess the applicability and potential benefits of P-S waves for deep mineral exploration. An analysis of borehole logging data shows that ore zones associated with pyrite and diorite should produce strong reflection on seismic data. Clear reflections are locally observed at the location of shallower ore zones. Alteration and post-metamorphism increased the P-wave velocity and density of felsic volcanic rocks but the impact of this change has not been clearly identified on seismic data. Many prominent and continuous reflections of lithological origin are observed close to the base of the Chisel sequence. P-S results are not discussed here but will be presented at the workshop.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score0.929

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.008
GPT teacher head0.182
Teacher spread0.174 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2014
Admission routes1
Has abstractyes

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