Evaluation of the different gasification technologies: available on the market and in canada for potential application
Bibliographic record
Abstract
Gasification is a thermochemical process that converts solid, carbonaceous materials like biomass into synthesis gas (syngas), a mixture primarily composed of hydrogen (H₂) and carbon monoxide (CO), along with smaller amounts of carbon dioxide (CO₂) and methane (CH₄). The process occurs in an oxygen-limited environment and involves several stages: drying, pyrolysis, combustion, and gasification. Initially, the feedstock is dried to remove moisture, followed by pyrolysis, where large organic molecules are thermally decomposed into smaller gaseous compounds, char, and tar. Combustion of some syngas and char provides the heat required for the endothermic gasification reactions. Gasification agents, such as air, steam, or oxygen, influence the H₂/CO ratio in the syngas. Overall, such a process is highly flexible, allowing the use of various feedstocks, including renewable materials such as agricultural residues, municipal solid waste, and forestry residues. It has also been used for decades in the conversion of coal into syngas (for CHP or synthesis applications). Syngas can be used for heat and power generation, hydrogen production, or as feedstock for chemical synthesis, enabling polygeneration of energy and materials.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.006 |
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".