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Record W2947459226

New hybrid Siloxane / Polysaccharides Based Sol-Gel Matrices : Synthesis and Properties

2010· preprint· en· W2947459226 on OpenAlexaff
Christophe Bliard, Andrew J. Vreugdenhil

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2010
Typepreprint
Languageen
FieldMaterials Science
TopicSilicone and Siloxane Chemistry
Canadian institutionsTrent University
Fundersnot available
KeywordsSiloxanePolysaccharideSol-gelMaterials sciencePolymer scienceChemical engineeringChemistryComposite materialOrganic chemistryNanotechnologyPolymerEngineering
DOInot available

Abstract

fetched live from OpenAlex

In this poster we present the synthesis of new hybrid materials constituted of a dual siloxane-polysaccharidic based materials by inter intertwining/cross-linking two polymeric epoxy-silane/polysaccharide based networks in aqueous solution ; using the carbohydrate framework as the building template for the siloxane polymerization. The advantage of cross-linkable sol-gel matrices over traditional sol-gel chemistry methods are primarily the use of low temperature processing to prepare the material, the opportunity to incorporate useful organic functionality into the final matrix, modified mechanical properties and partial and adjustable biodegradability. Depending on the starting silanes and polysaccharides these gels are cross-linked in a number of ways, to produce materials with unique, innovative and potentially valuable properties.

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 score0.002
Threshold uncertainty score0.006

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.212
Teacher spread0.196 · 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
Published2010
Admission routes1
Has abstractyes

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