Inhibitory Effect of Penicillin like Metabolites of Paecilomyces carneus on In vitro Dry Matter Digestibility of Grasses
Bibliographic record
Abstract
Insufficient growth of lambs grazed on lowland mires in Iceland is well documented but not clearly understood (Gudmundsson, 1988). It is also well established world wide that toxic substances which occur on grassland pastures can cause ruminal disorder and retard animal growth (Culvenor, 1987). Such toxins may be inorganic in nature, but more frequently, they are organic metabolites, for example fungal toxins either on the topsoil either on or within the plant. In Nova Scotia, Canada, where ill-thrift is common, researches have confirmed an interaction between fungal flora of soils and metabolism of rumen bacteria (Brewer et al., 1979; Liss et al., 1985). A research project was carried out in Iceland to obtain information of the fungal flora of Icelandic pastures (Brewer et al., 1988). Systematic survey of the soil and herbage fungi of a lowland mire pasture and screening tests against cellulolysis by rumen bacteria was conducted. Out of 91 isolates, 10 inhibited cellulolysis and 9 of these were of the Paecilomyces carneus species known to produce penicillin N (Brewer et al., 1972). The present work is a first step, to examine whether penicillin like metabolites in extract from P. carneus fungi would affect digestibility of herbage from pastures and therefore the performance of grazing animals in Iceland.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".