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Record W7010300181

The hydromagnesite deposits of the Atlin area, British Columbia, Canada, and their industrial potential as a fire retardant

2007· article· en· W7010300181 on OpenAlexfundaboutno aff

Bibliographic record

VenueBulletin of the Hellenic Geological Society (National Technical University of Athens) · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeochemistry and Elemental Analysis
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaGeneral Secretariat for Research and Technology
KeywordsFire retardantFireproofingFire investigation
DOInot available

Abstract

fetched live from OpenAlex

This research examines the potential o( the hydromagnesite deposits at Arlin in British Columbia, Canada, for the mineralfire-retardant market.Mineralfire retardants, such as Mg-and Ca/Mg-carbonates, are environmentally friendly, producing non-toxic and non-corrosive gases during their thermal decomposition.During this research, 70 sediment samples and two bulk samples were collected Fom the study area and analysed.The results showed that the Atlin deposits are composed mostly of hydromagnesite with minor amounts of velY.line-grained,soft and platy magnesite.The general conclusion is that the mineralogical composition of the samples.their hehaviour during thermal decomposition, and their chemical and physical properties, make theln suitable (or use as white fillers for flame-retardants.Additionallji, the whiteness of the samples is sufficient and comparable to other commercial hydromagnesite-bearing rocks.The Atlin reserves of the hydromagnesite ore bodies were overestimated in past literature as 110,000 tons.A more precise calculation of the reserves during a techno economic assessment is required.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.145
Teacher spread0.138 · 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
Published2007
Admission routes2
Has abstractno

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