Kinetics of Silica Dissolution from Rice Husk Char
Bibliographic record
Abstract
The effect of leaching time and temperature on the ash content of rice husk char and the resultant surface area development was investigated. Experiments on dissolution of rice husk char ash with 0.5 mol NaOH solution were conducted at 40°C, 60°C, 80°C and 95°C for different times up to 7200 s. The surface areas of the leached chars after drying were determined using Micromeritics 2200 surface area analyzer. The leaching data was analyzed using different models applicable for fluid-solid non-catalytic reactions. It was found that the data could be satisfactorily represented by diffusion-controlled mechanism as well as modified shrinking core models. The activation energies were in the range of 41.75 to 51.25 kJ/mole. The surface areas of the leached chars were found to depend linearly on the percentage of ash content in the chars.
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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".