Model of the slow pyrolysis of lignin to predict the product yield and composition of the liquid phase
Bibliographic record
Abstract
Abstract The organic phase obtained from the slow pyrolysis of lignin contains several highly functional chemical families. These make lignin‐based oil, which is suitable for producing several end products. The composition and quality of the liquid phase are crucial for identifying the downstream processes. They are affected by several factors, including the feedstock precipitation process, pyrolysis conditions, and the presence of an in situ or ex situ catalytic agent. In this regard, this work aims to predict the yield of the slow pyrolysis products from kraft lignin and the composition of the liquid phase under different conditions. A kinetic model based on a lumped approach is employed. A temperature range from ambient to 1100 K and a heating rate from 2 to 200 °C min −1 are applied. The results predicted from the study are compared under selected conditions against lab‐scale experimental data, which show the strong capabilities of the model employed. © 2020 Society of Chemical Industry and John Wiley & Sons, Ltd
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".