Bibliographic record
Abstract
In this paper, the chemical ingredients of mulberry bast was tested by quantitative analysis. Our objective was to substitute the slow and difficult to control retting process by a fast and well controlled process, i.e. the two-step boiled process treatment (TSBP) of mulberry bast which was treated by mechanism. During the TSBP treatment the pectin, Lignin and hemicelluloses are hydrolysed and rendered in water or alkali-soluble, the fibers being more easily degummed. The TSBP treatment was among the best conditions for the degumming and individualisation of the fibers. The two-step boiled samples were tested. The results indicated that the length of mulberry fiber is 23.0-35.0mm, fineness is 2.3-3.5 dT, breaking tenacity is 5.0-10.0cN/dT, breaking extension rate is 3.5-5.5%, moisture regain is 9-10%. The samples were observed by scanning electron microscopy (SEM), and the morphological aspects of the mulberry fibers are discussed.Structural disruption was observed by X-ray measurement.
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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) | 0.001 | 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 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".