Assessment of Biogas Distribution at the Base of Passive Methane Oxidation Biosystems
Bibliographic record
Abstract
Passive methane oxidation biosystems (PMOB) are implemented as part of final cover systems and can be cost-effective means of controlling fugitive CH4 emissions from landfills. The efficiency of a PMOB increases with increasing uniformity of CH4 loading at the interface between its main components, i.e. methane oxidation layer (MOL) and gas distribution layer (GDL). Concentrated – or non-uniform – distribution increases the risk of surface emissions higher than acceptable, particularly upslope. This study is part of a larger project that aims to evaluate the length along the MOL-GDL interface where gas can migrate unrestricted upwards through the cover. The first step is to perform proper characterization of the materials, which includes determination of the water retention curve and the coefficient of air permeability of the MOL material used for the construction of the PMOB installed at the St-Nicephore landfill (Quebec, Canada). Both were determined at several initial water contents and dry densities. The subsequent determination of the onset of the air permeability drop as water content and dry density changed was one of the main outputs of the present study and is a fundamental step in the determination of unrestricted gas migration within PMOBs.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".