Decomposition of Lignin and Holocellulose of Pinus roxburghii Sar. (Pinaceae) Needle Leaves, Twigs and Barks by Fungal Isolates from Virgin Forest Ecosystem of Doddabetta belt of Nilgiris
Bibliographic record
Abstract
ABSTRACT Decomposition of lignin and holocellulose study was conducted in Pinus roxburghii Sar. (Pinaceae) needle leaves, twigs and barks from the virgin forest ecosystem of Doddabetta belt of Nilgiris during monsoon periods June to November 2014. Four lignin and holocellulose degrading fungi which were dominating the P. roxburghii forest ecosystem were identified, viz., Amanita muscaria, Coprinus micaceus, Cortinarius collinitus and Tricholoma album. The spores collected from the fruit bodies / the mycelia from the degrading material were inoculated individually to the experimental needle leaves, twigs and barks to analyse the decomposition potentials of lignin and holocellulose. The percentage of degradation of lignin, holocellulose and hot water soluble content varied with the samples and as well as the fungal isolates. However the degradation is a long process which certainly adds nutrients to the virgin forest ecosystem. 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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".