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Record W2981614306 · doi:10.4095/221819

Gold mineralization during greenhouse gas fixation: a booklet summary of research on Au-bearing listwanite in the Atlin area, northwestern British Columbia

2006· report· en· W2981614306 on OpenAlexaffabout
Lyle D. Hansen, Gregory M. Dipple, R G Anderson

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEnvironmental Science
TopicMine drainage and remediation techniques
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsMineralization (soil science)Greenhouse gasFixation (population genetics)Environmental scienceArchaeologyGeologyGeographyChemistryOceanographySoil science

Abstract

fetched live from OpenAlex

Listwanite (carbonate-altered serpentinite) is commonly spatially associated with gold mineralization; it also represents a natural analogue to mineral carbonation, a type of carbon dioxide sequestration. Our studies have resulted in a better understanding of listwanite associated lode-gold deposits and will aid in the design of industrial processes aimed at permanently and safely storing anthropogenic carbon dioxide. Mapping and sampling at Atlin, BC shows that listwanite-alteration is localized along a penetrative fracture system within the ultramafic body and extends up to tens of metres into intact wallrock. Petrography and geochemistry indicate carbonate-alteration proceeded via a three-stage reaction sequence. Serpentinite was converted to magnesite + serpentine which was then converted to magnesite + talc and finally to magnesite + quartz. The overall mineral transformation is the same as proposed industrial carbonation reactions and was accomplished without the alteration of non-volatile chemical species. Geochronology and stable isotopes have helped define the source of carbon dioxide and the constrained the timing and duration of the alteration. Volume changes associated with alteration may play a role in the generation of permeability in advance of carbonation reaction fronts. ln addition, we have modeled magnetic susceptibility as a proxy for listwanite-alteration that has aided in the mapping out of the permeability structure of these systems.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.389
Threshold uncertainty score0.782

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.039
GPT teacher head0.294
Teacher spread0.255 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2006
Admission routes2
Has abstractyes

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