MétaCan
Menu
Back to cohort
Record W2070116506 · doi:10.1201/9780203742815-6

Hydrogels Based on Polysaccharides

2017· book-chapter· en· W2070116506 on OpenAlexaff
Severian Dumitriu, P. F. Vidal, E. Chornet

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHydrogels: synthesis, properties, applications
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsChemistryPolysaccharideSelf-healing hydrogelsPolymer scienceNanotechnologyPolymer chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Gels are cross-linked networks of polymers swollen with a liquid. Two-thirds of the human body consists of water, and almost all known biological reactions occur in water. The ability of polysaccharides to form a network structure, even at very low concentrations, constitutes one of their most important functional properties. Many natural and bacterial polysaccharides, charged or uncharged, form three-dimensional networks under specific conditions. Cross-linking is one of the oldest methods for the chemical modification of polymers. Various degrees of cross-linking can be introduced into polysaccharides for the purpose of generating larger molecular aggregates with enhanced viscosity profiles, or for the preparation of insoluble products with a wide range of swelling characteristics. Reaction of polysaccharides with epichlorohydrin usually leads to cross-linking, but monofunctional side reactions may also occur to form a series of by-products with glycolic functional groups.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.005

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 head0.025
GPT teacher head0.248
Teacher spread0.223 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations29
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicHydrogels: synthesis, properties, applicationsFrench-language works237,207