Bibliographic record
Abstract
The microbial degradation of pyrene, a 4-ring polycyclic aromatic hydrocarbon (PAH), has been elucidated with the increasing number of pyrene-degrading bacteria that have been isolated in recent years. A pyrene degrading bacterium identified as Mycobacterium sp. strain S65, was isolated from a jet-fuel contaminated site in Sept-Iles, northern Quebec, Canada. S65 utilized pyrene, phenanthrene, and fluoranthene as sole carbon and energy sources, but did not degrade naphthalene, anthracene, and fluorene. Pyrene mineralization was enhanced by adding benz[a]anthracene, benzy[a]pyrene, or phenanthrene as cosubstrates. When added to PAH contaminated soil as a potential bioaugmentation agent, S65 did not appear to survive well, nor was it effective at degrading PAHs under these conditions. Pyrene catabolic genes in S65 were partially characterized by Southern hybridization using a probe constructed from the naphthalene inducible pyrene dioxygenase gene, nidA, from the pyrene-degrading bacterium, Mycobacterium sp. strain PYR-1.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".