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Record W2185200329 · doi:10.4095/213168

Electrical conductivity mechanism of sericite schist from Gold Lake area of the Yellowknife mining district, Northwest Territories

2002· report· en· W2185200329 on OpenAlexaboutno aff
S Connell, N Scromeda-Perez

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicMetal Extraction and Bioleaching
Canadian institutionsnot available
Fundersnot available
KeywordsSericiteSchistGeologyGeochemistryMining engineeringArchaeologySeismologyMetamorphic rockGeography

Abstract

fetched live from OpenAlex

The electrical conductivity mechanisms have been determined for six mineralized sericite schist specimens cut from a large sample collected from the Gold Lake area of the Yellowknife mining district, Northwest Territories. This work consists of analysis and interpretation of 3-D electrical resistivity measurements. The sample was selected to characterize the resistivity of the alteration zone and determine the effect of crosscutting veins and the sections of fine-grained sulphides oriented parallel to foliation. The purpose of this paper is to document results of the electrical resistivity determinations obtained to assist interpretation of electromagnetic surveys currently being conducted in the area. The bulk electrical resistivities (.... r ) of the six specimens investigated in this study are in the range of 5.9 140 .×m with anisotropy values ranging from 3:1 to 7:1. The arsenopyrite-filled fractures showed the lowest ñ r values (5.9 17 .×m).

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.228
Teacher spread0.197 · 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.

Study designNot applicable
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
Published2002
Admission routes1
Has abstractyes

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