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Record W2382907568

Law of Mercury Emitted from Coal Fly Ash during Thermal Treatment

2012· article· en· W2382907568 on OpenAlexaboutno aff
Shi Lin

Bibliographic record

VenueEnvironmental Science & Technology · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsnot available
Fundersnot available
KeywordsMercury (programming language)Fly ashChemistryCoalEnvironmental chemistryDivalentMERCUREMineralogyWaste managementAnalytical Chemistry (journal)Organic chemistry
DOInot available

Abstract

fetched live from OpenAlex

Law of mercury emitted from the coal fly ash during thermal treatment was studied.Element mercury(Hg0) and divalent mercury(Hg2+) were determined by Ontario Hydro Method(OHM),by changing the calcinations temperature,calcinations time and air flow.Results showed that when heating temperature rose to 400 ℃,most of the volatilizable mercury has been released,and emission amount was 0.2 μg/g.In the heating temperature ranged from 600 ℃ to 1 000 ℃,zero-valent mercury(Hg0) was observed be oxidized to divalent mercury(Hg2+) distinctly.The mercury emission amount and oxidization degree were mainly related to calcinations temperature,while the calcinations time and air flow had less influence.The volatilizable mercury would release and some of element mercury was oxidized at 1 000 ℃,0.5 L/min and 30 min.Attention should be paid on this issue and control measures should be taken.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.232
Teacher spread0.222 · 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 designBench or experimental
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
Published2012
Admission routes1
Has abstractyes

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