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Record W2377117624

Characteristics Comparison of Mechanism Study About Two Sulfation Process in Calcium-based Desulfurization in Furnace

2006· article· en· W2377117624 on OpenAlexaff
Liu Yan, C Supcon

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Algorithms and Applications
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsFlue-gas desulfurizationSulfationCalciumStoveBoiler (water heating)CoalChemical engineeringChemistryWaste managementProcess engineeringMineralogyMetallurgyMaterials scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

The calcium-based desulfurization method was adopt to control the discharge of SO_2 of coal-burning boiler.During the conventional desulphurization course,when limestone enters stove,it decompose to CaO firstly,which subsequently combines with SO_2 to form calcium sulfate.Though the researchers adopted physics and chemical methods to raise the calcium utilization ratio of the limestone,the sintering of CaO irreversibly in high temperature and the forming of dense products of CaSO_4,make desulphurization efficiency maintain a low level.But with higher CO_2 concentration,the sulfuration reaction happens between CaCO_3 and SO_2,which make significant progress in the problem of low-desulphurization efficiency.The purpose of this paper lie in understanding mechanism characteristics of direct sulfation better,by comparing detailedly the two courses,and makeing it develop and applicate on engineering.

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 score0.009

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)0.0030.000

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 head0.015
GPT teacher head0.305
Teacher spread0.291 · 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
Published2006
Admission routes1
Has abstractyes

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