Production of high quality green textile filaments from carboxymethylated cellulose covalently cross‐linked by reactive green 19 dye
Bibliographic record
Abstract
Abstract Huge quantities of wastewaters are produced during dyeing of textile, which is why wastewater treatment plants are required in textile industries in which, in most cases, non‐dyed filaments are produced first and dyeing of these filaments is performed at a later stage. Here, carboxymethylated cellulose (CMC) with the COOH group content of 1.3 mmol/g CMC was covalently crosslinked through reactive green 19 dye in the dope solution (0.09 wt% dye with reference to CMC) from which green textile filaments were spun. The incorporation of dye in the dope solution has the advantage of obtaining dyed filaments without using an additional step for dying of the fabricated textile filaments and, moreover, it can be done in such a way that clean, no dye containing wastewater is produced. The filaments also demonstrated an increase in mechanical strength (tenacity ~ 0.96 cN/dtex) and a decrease in water absorbency (water absorbency ~ 0.63 g water/g filament) due to chemical crosslinking of cellulose chains through the dye. Owing to covalent bond formation between the CMC and the dye, excellent color fastness properties were obtained for the fabricated filaments.
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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".