Microbial Community Dynamics of a Sequentially Fed Anaerobic Digester Treating Solid Organic Waste
Bibliographic record
Abstract
Abstract A 50 kg-scale high solids anaerobic digestor comprising six sequentially-fed leach beds with a leachate recirculation system and an upflow anaerobic sludge blanket reactor was operated at 37°C for 88 weeks. The feedstock contained a constant fibre fraction (a mix of cardboard, boxboard, newsprint, and fine paper) and varying proportions of food waste. Significantly enhanced co-digestion and methane production from the fibres was observed as the proportion of FW was increased. The most abundant 16S rRNA amplicon sequence variant (ASV), classified as Clostridium butyricum , was correlated with the amount of FW in the system and total methane yield. However, methane yield specifically from the fibre fraction was significantly correlated with organisms classified as Candidatus Roizmanbacteria and Spirochaetaceae . These ASVs together with ASVs classified as Anaerovorax and Methanoculleus correlated strongly to other ASVs in the microbial community, suggesting these are vitally important for ecosystem function and methane production. In addition, tracing the fate of microbes derived from incoming food waste helped to diagnose a poor batch of bulking agent. Table of Contents (TOC)/ Abstract Art
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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) | 0.001 | 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".