Culture-dependent and independent microbial analyses of petroleum hydrocarbon contaminated Arctic soil in a mesocosm system
Bibliographic record
Abstract
Microbial-based strategies were investigated for eventual bioremediation of petroleum hydrocarbon-contaminated, acidic soils from Resolution Island (RI), Nunavut. A biotreatability assessment phase one study determined that supplementation of soil with commercial fertilizer and lime enhanced hydrocarbon mineralization. Phase two applied these conditions to large scale mesocosm trials, containing ~150 kg soil, incubated in a temperature cycle that represented the ambient summer conditions on RI (10 d of 1°C - 10°C for 60 d). Culture-dependent and –independent analyses of RI soil microbial communities showed the mesocosm treatment enhanced hexadecane mineralization, increased the enumerations of total microbes and viable, cold-adapted hydrocarbon-degrading microorganisms. DGGE analyses indicated emergence of a hydrocarbon-degrading community and 16S rRNA gene clone libraries showed bacterial population shift in mesocosm soils. Potentially novel isolated strains included those able to grow on hydrocarbons alone while under acidic or sub-zero conditions. This microbiological study addressed RI site conditions and presents a potential bioremediation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".