International Symposium on Ruminant Physiology: Rumen fungi, archaea, and their interactions
Bibliographic record
Abstract
Anaerobic gut fungi (AGF) were the last phylum to be identified within the rumen microbiome and account for 7% to 9% of microbial biomass. They produce potent lignocellulases that degrade recalcitrant plant cell walls, and rhizoids that can penetrate the cuticle of plant cells, exposing internal components to other microbiota. Interspecies H 2 transfer between AGF and rumen methanogenic archaea is an essential metabolic process in the rumen that occurs during the reduction of CO 2 to CH 4 by methanogens. This symbiotic relationship is bolstered by hydrogensomes, fungal organelles that generate H 2 and formate. Interspecies H 2 transfer prevents the accumulation of reducing equivalents that would otherwise impede fermentation. The extent to which hydrogenosomes serve as a conduit for H 2 flow to methanogens is unknown, but it is likely greater with low-quality forages. Strategies that alter the production of CH 4 could also have implications for H 2 transfer by anaerobic fungi. Understanding the factors that drive these interactions and H 2 flow could provide insight into the effect of reducing CH 4 production on the activity of ruminal fungi and the digestion of low-quality feeds.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.043 | 0.017 |
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".