Development of Measurement Techniques for Siloxanes in Landfill Gas
Bibliographic record
Abstract
In Poland, the biogas obtained from municipal solid waste landfills is most frequently used in biogas systems.In combustion of biogas contaminated with siloxanes, they transform and decompose to silica and silicate deposits, which affect the proper operation of power supply devices, i.e. electric generation systems or boilers.The study aimed to determine the optimal methods for the collection of representative biogas sample for gas chromatography (GC) analysis.The main tasks included the selection of the most favourable sampling conditions for siloxane sorption in a given sorbent, i.e. sampling time, gas flow speed and sorbent volume.The study regarded the landfill gas from the Municipal Landfill located in the city of Opole in Poland.Research showed the presence of organosilicon compounds in the tested biogas but their concentration was low.That's way the landfill gas can be successfully used for energy purposes without compromising the equipment caused by the presence of siloxanes
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".