MétaCan
Menu
Back to cohort

Preparation of dendrimer polyol/mesoporous silica nanocomposite for reversible CO<sub>2</sub> adsorption: effect of pore size and polyol content.

2017· article· en· W2746697145 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFigshare · 2017
Typearticle
Languageen
FieldEngineering
TopicMembrane Separation and Gas Transport
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsDendrimerPolyolChemistryAdsorptionNanocompositeThermal stabilityChemical engineeringMoietyMesoporous materialPolymer chemistryOrganic chemistryCatalysisPolyurethane

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.023
GPT teacher head0.277
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it