MétaCan
Menu
Back to cohort
Record W2097778541 · doi:10.1109/icmens.2005.71

Microneedle Arrays for Drug Delivery and Fluid Extraction

2006· article· en· W2097778541 on OpenAlexaff
P. Zhang, G.A. Jullien

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvancements in Transdermal Drug Delivery
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFabricationInsulin deliveryMicroelectromechanical systemsDrug deliveryBiomedical engineeringMaterials scienceRobustness (evolution)NanotechnologyComputer scienceEngineeringChemistryMedicine

Abstract

fetched live from OpenAlex

Fabrication results for a novel MEMS-based microneedle array are presented in this paper. The microneedle array design is introduced following a brief survey of previously published design techniques. The microneedle array is fabricated by employing a bi-mask technique to facilitate sharp tips, a cylindric body and side ports. The array has advantages over previously published results including ease of fabrication and bonding, and high needle density and robustness. In addition, the microneedle comprises side ports which minimizes the potential for clogging. This microneedle array can be used for fluid extraction and drug delivery systems; e.g., biological sampling, and insulin delivery into the human body.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

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 head0.057
GPT teacher head0.399
Teacher spread0.342 · 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.

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

Citations13
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicAdvancements in Transdermal Drug DeliveryFrench-language works237,207