Bibliographic record
Abstract
The properties of oil palm fiber were estimated and compared with oil seed flax and industrial hemp fibers. Biocomposite of oil palm fiber and linear low density polyethylene (LLDPE) was manufactured. The effect of fiber size, fiber content and fiber treatment on dimensional stability of the biocomposite was studied. The true density of oil palm fiber is found to be 1503 kg m-₃. The oil palm fibers obtained from field contained nearly one-fourth impurities, and the equilibrium moisture contents (EMC) values of fibers nearly doubled with 25% increase in relative humidity. The dielectric constant of oil palm fiber was in the range of 7.76-8.31. The oil palm fiber resulted in thermograms with two endothermic peaks and three exothermic peaks with the first degradation temperature at 301.71°C. Alkali treatment reduced first degradation temperature to 297.1°C. The specific heat capacity of oil palm fiber varied from 1.083 J g-₁ °C-₁ to 3.317 J g-₁ °C-₁ in the temperature range of 20°C to 150°C. A sharp increase in composite thickness swelling upon immersion in water was observed in the initial days of immersion, which maintained constant thereafter. The thickness swelling increased with fiber size. In addition to thickness swelling, composites expanded linearly also during water absorption, however linear expansion was considerably less than thickness swelling. Higher fiber loading and alkali treatment caused more linear expansion. It was observed that maximum solid loss on water immersion was for small-sized and also alkali-treated fiber composites. Increase in thickness and decrease in linear dimension was observed after one sorption-de sorption cycle. This irreversible change was also found proportional to fiber loading and alkali treatment.
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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 | 0.001 | 0.001 |
| 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) | 0.016 | 0.009 |
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".