Pulping of different parts of whole green jute (C. Capsularies) plant by Kraft process
Bibliographic record
Abstract
The chemical composition of the top, middle and bottom part of green jute plant (GJP) are not alike, thus the yield and strength properties of the pulp produced may vary if these are pulped separately. The alpha -cellulose content increases, whereas hemi-cellulose, lignin, ash and extractives decrease from top to bottom part of GJP. The Kraft pulp yield and strength properties increases (except tear) from top to bottom part of GJP. The pulp produced from GJP was found to undergo rapid beating in comparison to those of muli bamboo, jute cuttings. This indicates less energy requirement during refining operation of the GJP pulp. Low extractive (pectin) and high alpha-cellulose is favorable for pulping. Bangladesh J. Sci. Ind. Res. 48(2), 105-108, 2013 DOI: http://dx.doi.org/10.3329/bjsir.v48i2.15740
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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 | 0.001 |
| 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".