Bioremediation of petroleum hydrocarbons: multi-scale investigation of effects of pore size and role of diurnal temperature changes
Bibliographic record
Abstract
Des bactéries indigènes, adaptées au froid, dégradant les hydrocarbures ont été fréquemment détectées dans les sites de région froide.Par conséquent, la bioremédiation, une technologie avec un bon rapport coût-efficacité, est potentiellement viable pour la réhabilitation des sites contaminés en régions froides.Des études antérieures sur la bioremédiation des hydrocarbures pétroliers en région froide ont été complétées avec des sols à grain grossier.Cependant, les sols retrouvés en région froide sont souvent des sols à grain fin ou argileux et les études sur la performance de la bioremédiation des hydrocarbures pétroliers dans ces conditions sont limitées.L'objectif principal de cette recherche était d'étudier les facteurs contrôlant la biodégradation de la contamination par hydrocarbures pétroliers vieillis de sols argileux provenant d'un site subarctique sous des régimes de températures pertinents.different stages of my Ph.D. I am grateful for his inspiration during my research and invaluable
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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) | 0.000 | 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".