Orthogonal Study of Biodegradation of Lubricating Oil Accelerated by Lauroyl Glycine
Bibliographic record
Abstract
Different contents of lauroyl glycine were incorporated into HVI 350 mineral lubricating oil and the biodegradabilities of the formulated oils were evaluated on a biodegradation tester. Thereafter, the interaction affections of four influencing factors, viz. lubricating oil content, lauroyl glycine, microbe nutriments and oxygen supply, on biodegradation of HVI 350 lubricating oil in soils were studied based on a L9(34) orthogonal array test. The results indicated that lauroyl glycine obviously promoted biodegradation of HVI 350 lubricating oil, especially at the lauroyl glycine contents of about 1.0~1.5%. Of the four influencing factors, the effect of lauroyl glycine on biodegradation of HVI 350 lubricating oil in soils proved to be the most significant in various biodegradation durations, demonstrating that lauroyl glycine markedly contributed to the biodegradation of the lubricating oil.
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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".