MétaCan
Menu
Back to cohort
Record W4405706639 · doi:10.1002/chem.202403708

Hybrid Inclusion Materials Based on Chiral Nematic Mesoporous Organosilica with Incorporated Cyclodextrin Receptors

2024· article· en· W4405706639 on OpenAlexaff
Joanna Szymkowiak

Bibliographic record

VenueChemistry - A European Journal · 2024
Typearticle
Languageen
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMesoporous organosilicaMaterials scienceLiquid crystalCyclodextrinMesoporous materialSurface modificationMoleculeHybrid materialNanotechnologyOrganic chemistryChemical engineeringMesoporous silicaChemistryCatalysis

Abstract

fetched live from OpenAlex

The creation of multicomponent materials with desired properties and functions is a challenge of modern materials chemistry. Chiral nematic mesoporous organosilicas have iridescent properties that make them attractive for decoration and sensing. In this paper, we demonstrate the chemical functionalization of chiral nematic mesoporous organosilica films with cyclodextrin. In this way, we have been able to create chiral nematic mesoporous films with macrocyclic molecules on the surface to obtain a new class of hybrid inclusion materials.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.007
GPT teacher head0.204
Teacher spread0.197 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueChemistry - A European JournalSame topicMesoporous Materials and CatalysisFrench-language works237,207