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Record W2896360644 · doi:10.4209/aaqr.2018.05.0205

Mercury Speciation and Mass Distribution of Cement Production Process in Taiwan

2018· article· en· W2896360644 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAerosol and Air Quality Research · 2018
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsnot available
FundersEnvironmental Protection Administration, Executive Yuan, R.O.C. Taiwan
KeywordsMercury (programming language)CementGenetic algorithmEnvironmental chemistryEnvironmental scienceProcess engineeringMetallurgyChemistryMaterials scienceComputer scienceEngineeringEcologyBiology

Abstract

fetched live from OpenAlex

In this study, the mercury (Hg) speciation and mass distribution at two cement plants located in northern and eastern Taiwan were investigated. Gaseous Hg in the kiln flue gas was sampled by the Ontario Hydro method, and the solid samples were collected to analyze the Hg mass balance. The total Hg concentrations in the raw mill electrostatic precipitator (ESP) input of the two plants were 155.70 and 64.62 µg Nm–3, respectively, which were higher than those at any other sampling point. Approximately 97.5 and 86.5% of the Hg in the raw mill ESP input at Plants 1 and 2, respectively, was particle-bound. Elemental Hg was the major gaseous Hg species emitted into the atmosphere from these two cement plants, accounting for 56.4 to 98.2% of the total Hg in the flue gas. The total Hg mass output was calculated to be 61.374 and 204.596 mg-Hg per metric ton-clinker (mg ton–1) for cement Plants 1 and 2, respectively. The Hg emission factors for Plants 1 and 2 were thus 0.059 and 0.196 g-Hg per metric ton-cement (g ton–1), respectively. These results improve our understanding of Hg emissions from cement plants in Taiwan and provide useful information for selecting Hg control technology.

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.

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 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 score0.096
Threshold uncertainty score0.215

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.081
GPT teacher head0.399
Teacher spread0.318 · 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