Comparative study between physicochemical characterization of biochar and metal organic frameworks (MOFs) as gas adsorbents
Bibliographic record
Abstract
Abstract In this study, biochar produced from three different woody biomasses, softwood (shaving, bark (Balsam fir)), and hardwood (Ash wood), are compared in terms of chemical and physical properties. The biochar was produced via fast pyrolysis at 450 °C in a 4 kg/h capacity auger reactor. The produced biochars were characterized for elemental composition, surface area, morphology, proximate analysis, and thermal properties. The biochars were compared with a Metal Organic Framework (MOF) with respect to properties key to adsorbent applications. All biochars were basic (pH 8.9–10.7), while MOFs were acidic. The morphologies of biochar and MOF‐5 differ in pore size, chemistry, and structure. Biochar has higher carbon content and more aromatic functional groups than MOFs, which could play an important role for adsorption of acidic gases from natural/produced gas.
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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 | 0.000 |
| 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 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".