Dynamic Analysis of Elemental Mercury Released from Thermal Decomposition of Coal<sup>†</sup>
Bibliographic record
Abstract
Mercury (Hg) is a toxic and ubiquitous trace element in coal. Monitoring its release behavior during coal processing is a challenging problem. This paper presents a method that is capable of online measurement of the dynamic release behavior of elemental Hg (Hg 0 ) from thermal decomposition of coal. The method couples a temperature-programmed decomposition unit with an atomic fluorescence spectrometry detector (TPD-AFS). The AFS signal can be converted to Hg content for quantitative analysis through calibration. The main advantage of the TPD-AFS system is that it can provide either real-time or accumulated data. It was confirmed that the amount of Hg 0 determined by this method agreed well with that by the Ontario-Hydro method, and the results are reproducible with a high accuracy. The method can be used to characterize the release behavior of Hg in coals upon heating and may be used to identify the forms of occurrence of Hg in coals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".