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Record W2910868867 · doi:10.4095/212682

Spectral induced polarization measurements of sericite schist and ore samples from the Yellowknife mining district, Northwest Territories

2001· report· en· W2910868867 on OpenAlexaboutno aff
N Scromeda-Perez, T J Katsube

Bibliographic record

Venuenot available
Typereport
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsSericiteSchistGeologyGeochemistrySeismologyMining engineeringArchaeologyMineralogyMetamorphic rockGeographyHydrothermal circulation

Abstract

fetched live from OpenAlex

Spectral induced polarization measurements have been performed over a frequency range of 1 10 6 Hz on a suite of four mineralized and nonmineralized rock samples from the Giant mine and Con mine areas of the Yellowknife mining district, Northwest Territories. The purpose was to provide data for use in determining the electrochemical characteristics of the sulphides in these rocks. Results indicate that the amplitude of complex resistivity (r + ) and imaginary resistivity (r² ) in thea -direction (per-pendicular to foliation) consistently display larger values than those of theb- org -directions (parallel to foliation). The per cent frequency effect displays similar trends in the two directions (a - andb -org -directions) with values in the range of 10 30% at the lower frequencies (< 1000 Hz). This implies that the induced polarization effect of the sulphide minerals are being reflected in the data for all of these samples.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

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

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 head0.068
GPT teacher head0.256
Teacher spread0.188 · 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 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
Published2001
Admission routes1
Has abstractyes

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