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Record W4401428400 · doi:10.1002/adma.202470256

Multifunctional Dopamine‐Based Hydrogel Microneedle Electrode for Continuous Ketone Sensing (Adv. Mater. 32/2024)

2024· article· en· W4401428400 on OpenAlexaff
Irfani R. Ausri, Sadegh Sadeghzadeh, Subhamoy Biswas, Hanjia Zheng, Peyman GhavamiNejad, Michelle Huynh, Fatemeh Keyvani, Erfan Shirzadi, Fasih A. Rahman, Joe Quadrilatero, Amin GhavamiNejad, Mahla Poudineh

Bibliographic record

VenueAdvanced Materials · 2024
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsUniversity of TorontoUniversity of Waterloo
Fundersnot available
KeywordsDopamineMaterials scienceKetoneCatecholSelf-healing hydrogelsKetone bodiesNanotechnologyBiomedical engineeringPolymer chemistryOrganic chemistryChemistryMedicineBiochemistryInternal medicine

Abstract

fetched live from OpenAlex

Hydrogel Microneedles The hydrogel microneedle continuous ketone monitoring (HMN-CKM) sensor is a skin-compatible patch designed to alert patients with diabetes at the onset of diabetic ketoacidosis. It leverages the catechol-quinone chemistry of dopamine to monitor ketone bodies in interstitial fluid, while dopamine also serves as the crosslinking agent for the HMN patch. More details can be found in article number 2402009, Amin GhavamiNejad, Mahla Poudineh, and co-workers.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.845

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.015
GPT teacher head0.303
Teacher spread0.288 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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