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Record W2090983971 · doi:10.1021/ma102354k

Facile Construction of Multifunctional Nanocarriers Using Sequential Click Chemistry for Applications in Biology

2011· article· en· W2090983971 on OpenAlexaff
Anjali Sharma, Kevin D. Neibert, Rishi Sharma, Rami Hourani, Dušica Maysinger, Ashok Kakkar

Bibliographic record

VenueMacromolecules · 2011
Typearticle
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsNanocarriersClick chemistryDendrimerChemistryEthylene glycolCombinatorial chemistryGlutathioneCovalent bondConjugated systemAlkynePEG ratioAzidePolymer chemistryOrganic chemistryDrug deliveryPolymer

Abstract

fetched live from OpenAlex

Bi- and trifunctional dendrimer and miktoarm nanocarriers, containing a combination of covalently linked model drug (α-lipoic acid), fluorescent dye (BODIPY), and poly(ethylene glycol) (PEG), are synthesized using a core with orthogonal functional groups, on which Huisgen alkyne−azide “click” reactions are performed in sequence. These carriers are internalized into the cells where they reduce H 2 O 2 induced reactive oxygen species formation. In addition, miktoarm nanocarriers conjugated with α-lipoic acid enhance intracellular glutathione (GSH) concentrations.

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 communication0.0000.000
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 head0.039
GPT teacher head0.292
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

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

Citations28
Published2011
Admission routes1
Has abstractyes

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