Impact of compost amendments and operating temperature on diesel fuel bioremediation
Bibliographic record
Abstract
A laboratory study was conducted to investigate the performance of composting bioremediation of a sand material contaminated with diesel fuel and radio-labeled phenanthrene. The material was amended with either fresh feedstock material or finished compost and then incubated at either thermophilic or mesophilic temperatures for 126 d. In controls that were not amended with compost, no mineralization of 14C phenanthrene was detected, whereas treatments that received compost amendments had significant phenanthrene mineralization, ranging from 25% to 42% of initial concentrations. The lowest extractable diesel range organic residual (1092 mg kg–1 total solids) was observed in the treatment receiving fresh compost amendment and incubated at thermophilic temperatures, whereas the highest residual (8507 mg kg–1 total solids) was observed in the control without any amendment. Whereas all the treatments that received amendment dramatically outperformed the control reactors, significant differences were observed among the treatment performances. This suggests that amendment type and operating temperature were important factors impacting bioremediation performance. Key words: compost amendments, bioremediation, diesel fuel, phenanthrene, temperature.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".