Metabolic hydrogen degradation in the presence of short chain and long chain fatty acids under anaerobic conditions.
Bibliographic record
Abstract
The effects of volatile short chain fatty acids (VFAs) and long-chain fatty acids (LCFAs) on hydrogen consumption were investigated using a mixed anaerobic culture acclimated to glucose. The study was conducted in serum bottles by adding LCFAs (2000 mg l-1 oleic or linoleic acid) and VFAs (0 to 1500 mg l-1 acetate, propionate, or butyrate) to the culture and hydrogen (500 or 1000 mumoles) to the headspace. Overall, the consequence of increasing the VFA concentration in the presence of LCFAs caused an increased inhibition of hydrogen consumption. VFAs were also examined in mixtures. Experiments with similar total VFA concentrations showed similar levels of inhibition in the range studied, though increased total VFA concentration increased inhibition. The effect of incubation time of individual LCFAs and VFAs prior to hydrogen addition was investigated. LCFA and VFA incubation time had a statistically significant effect on hydrogen consumption.Dept. of Civil and Environmental Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2006 .R695. Source: Masters Abstracts International, Volume: 45-01, page: 0432. Thesis (M.A.Sc.)--University of Windsor (Canada), 2006.
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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 | 0.001 | 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".