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Record W2469157105 · doi:10.1021/bk-2006-0934.ch012

Chitosan: A Natural Polycation with Multiple Applications

2006· book-chapter· en· W2469157105 on OpenAlexaff
Ève Ruel-Gariépy, Jean‐Christophe Leroux

Bibliographic record

VenueACS symposium series · 2006
Typebook-chapter
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsChitosanPolysaccharideSolubilityPolymerDrug deliveryChemistryChemical engineeringMaterials scienceNanotechnologyOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

Chitosan is one of the most abundant polysaccharide in nature. It is a versatile polymer used in various fields like water treatment, food conservation, and drug delivery. Lately, a novel chitosan-based thermosensitive solution has been developed. This system, made of chitosan and β-glycerophosphate, is liquid at or below room temperature, and forms monolithic gels at body temperature. In vitro release studies showed that this solution can sustain the delivery of a compound over a few hours up to several days, depending on its water solubility and molecular weight. Other experiments revealed the ability of this preparation to dramatically improve cartilage repair in a safe manner.

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 score0.007
Threshold uncertainty score0.024

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 science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0070.004

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 head0.006
GPT teacher head0.202
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 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

Citations41
Published2006
Admission routes1
Has abstractyes

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