Biochemical and molecular characterization of anaerobic benzene-degrading, nitrate-reducing cultures
Bibliographic record
Abstract
The second objective of this research was to determine which species of bacteria are present in the cultures, and which are active in the benzene degradation process. Direct correlation of an active species to benzene degradation rates was not possible using these methods; and molecular investigations revealed the presence of numerous organisms thought to be carrying out side-reactions in the cultures. Stoichiometry and molecular evidence also pointed towards the involvement of anammox in benzene degradation under nitrate-reducing conditions. Characterization of benzene-degrading nitrate-reducing enrichment cultures was carried out using both biochemical and molecular methods. The first objective of this research was to gain a better understanding of conditions under which benzene degradation is promoted or inhibited in order to improve consistent benzene degradation in the nitrate-reducing cultures. Fe(II), H2, resazurin, and nitrite were observed to inhibit benzene degradation, while acetate addition was shown to promote faster benzene degradation.
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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".