MétaCan
Menu
Back to cohort
Record W2989152086 · doi:10.1002/adhm.201970083

Dissolving Microneedles: Rational Design of Rapidly Separating Dissolving Microneedles for Precise Drug Delivery by Balancing the Mechanical Performance and Disintegration Rate (Adv. Healthcare Mater. 21/2019)

2019· article· en· W2989152086 on OpenAlexaff
Ailin Hou, Guilan Quan, Beibei Yang, Chao Lü, Minglong Chen, Dan Yang, Lili Wang, Hu Liu, Xin Pan, Chuanbin Wu

Bibliographic record

VenueAdvanced Healthcare Materials · 2019
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvancements in Transdermal Drug Delivery
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDissolutionMaterials scienceDrug deliveryPolymerBiomedical engineeringNanotechnologyChemical engineeringComposite materialMedicine

Abstract

fetched live from OpenAlex

In article number 1900898 by Xin Pan, Chuanbin Wu, and co-workers, a rapidly separating dissolving microneedles (RSDMNs) system is constructed to achieve controlled and precise drug delivery. The polymer-sugar complex is used to constitute the separating part with high disintegration rate as well as sufficient mechanical performance. After administration, the blank separating part rapidly disintegrates and detaches from the base and embeds the drug-concentrated tips into the skin. Both the ex vivo and in vivo results confirm the superiority of RSDMNs as compared with traditional dissolving microneedles.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.373
Teacher spread0.332 · 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 teacher head, not a consensus.

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

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueAdvanced Healthcare MaterialsSame topicAdvancements in Transdermal Drug DeliveryFrench-language works237,207