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Record W2738632031 · doi:10.12681/bgsg.16780

THE HYDROMAGNESITE DEPOSITS OF THE ATLIN AREA, BRITISH COLUMBIA, CANADA, AND THEIR INDUSTRIAL POTENTIAL AS A FIRE RETARDANT

2007· article· en· W2738632031 on OpenAlexafffundabout
Michael Stamatakis, Robin W. Renaut, Konstantinos Kostakis, S. Tsivilis, George Stamatakis, G. Kakali

Bibliographic record

VenueBulletin of the Geological Society of Greece · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeochemistry and Elemental Analysis
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaGeneral Secretariat for Research and TechnologyUniversity of Saskatchewan
KeywordsFire retardantThermal decompositionDecompositionMagnesiteMineralogyMineralEnvironmental scienceGeologyChemistryMaterials scienceMetallurgyMagnesium

Abstract

fetched live from OpenAlex

This research examines the potential of the hydromagnesite deposits at Atlin in British Columbia, Canada, for the mineral fire-retardant market. Mineral fire 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 from the study area and analysed. The results showed that the Atlin deposits are composed mostly of hydromagnesite with minor amounts of very fine-grained, soft and platy magnesite. The general conclusion is that the mineralogical composition of the samples, their behavior during thermal decomposition, and their chemical and physical properties, make them suitable for use as white fillers for flame-retardants. Additionally, 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 technoeconomic 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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.006
GPT teacher head0.148
Teacher spread0.142 · 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 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

Citations8
Published2007
Admission routes3
Has abstractyes

Explore more

Same venueBulletin of the Geological Society of GreeceSame topicGeochemistry and Elemental AnalysisFrench-language works237,207