Preparation of dendrimer polyol/mesoporous silica nanocomposite for reversible CO<sub>2</sub> adsorption: effect of pore size and polyol content.
Bibliographic record
Abstract
This paper focuses on the synthesis of polyol/MCM-48 nanocomposite materials with different percentage of polyalcohol dendrimer H20. The obtained materials have been used for CO<sub>2</sub> adsorption. CO<sub>2</sub>-TPD analysis shows that the samples containing 1 and 3 wt% of H20 dendrimer have low CO<sub>2</sub> adsorption capacity due to the occupation of active site, while the sample prepared by 0.5 wt% of H20 dendrimer, exhibit higher adsorption capacity and thermal stability although the adsorption capacity decreased with increasing molecular weight of dendrimer. The affinity towards CO<sub>2</sub> was found to be mainly to the presence of organic moiety within the MCM-48 pores.
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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".