Some remarks on the evaluation of m-cresol and pyridine biodegradation kinetics
Bibliographic record
Abstract
Wastewater produced from petroleum and coal processing industries can be contaminated with m-cresol and pyridine, which are two hazardous compounds with significant environmental and health effects. A bacterium known as Lysinibacillus cresolivorans has been demonstrated to effectively biodegrade m-cresol and this bacterium has been utilised by researchers to study the interaction effects of m-cresol and pyridine. Some variations in the literature were observed in the experimental data of the biodegradation of pyridine, which may be attributed to inaccurate estimation of initial cell mass concentration. In this work, simulations were run in combination with an algorithm to optimise initial biomass cell concentrations to describe the biodegradation kinetics of an inhibitory system in relation to experimental data. Simulated data on predicted cell concentrations and the results of this study may facilitate full-scale bioreactor design for m-cresol and pyridine removal from wastewater resulting from petroleum and coal processing.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".