Crude-oil-degrading thermophilic bacterium isolated from an oil field
Bibliographic record
Abstract
Thermophilic bacterium strain C2, which has the ability to transform crude oils, was isolated from the reservoir of the Shengli oil field in East China. The Gram-negative, rod-shaped, nonmotile cells were grown at a high temperature, up to 83 degrees C, in the neutral to alkaline pH range. Depending on the culture conditions, the organism occurred as single rods or as filamentous aggregates. Strain C2 was grown chemoorganotrophically and produced metabolites, such as volatile fatty acids, 1,2-benzenedicarboxylic acid, bis(2-ethylhexyl)ester, dibutyl phthalate, and di-n-octyl phthalate. It could metabolize different organic substrates (acetate, D-glucose, fructose, glycerol, maltose, pyruvate, starch, sucrose, xylose, hexadecane). The G+C content (68 mol%) and the 16S rRNA sequence of strain C2 indicated that the isolate belonged to the genus Thermus. The strain affected different crude oils and changed their physical and chemical properties. The biochemical interactions between crude oils and strain C2 follow distinct trends characterized by a group of chemical markers (saturates, aromatics, resins, asphaltenes). Those trends show an increase in saturates and a decrease in aromatics, resins, and asphaltenes. The bioconversion of crude oils leads to an enrichment in lighter hydrocarbons and an overall redistribution of these hydrocarbons.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".