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Record W2164989510 · doi:10.1109/tbcas.2009.2016844

A Wireless-Implantable Microsystem for Continuous Blood Glucose Monitoring

2009· article· en· W2164989510 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Biomedical Circuits and Systems · 2009
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsUniversity of Calgary
FundersCMC Microsystems
KeywordsMicrosystemTransponder (aeronautics)ChipMicrofabricationCMOSElectrical engineeringMaterials scienceSIGNAL (programming language)BiosensorLab-on-a-chipElectronic engineeringOptoelectronicsEngineeringComputer scienceNanotechnologyMicrofluidics

Abstract

fetched live from OpenAlex

A remotely powered implantable microsystem for continuous blood glucose monitoring is presented. The microsystem consists of a microfabricated glucose biosensor flip-chip bonded to a transponder chip. The transponder chip is inductively powered by an external reader with a 13.56-MHz carrier. It then measures the output signal of the glucose biosensor and transmits the measured data back to the external reader using load-shift keying (LSK). The microsystem has a volume of 32 mm(3). The procedures for the microfabrication of the glucose sensor and the assembly of the microsystem are described along with the description of the circuit blocks of the transponder chip. The transponder chip has been fabricated with the TSMC 0.18-mum CMOS process and has a total area of 1.3 x 1.3 mm(2). The chip can measure the sensor output current ranging from 1 nA to 1 muA with less than 0.3% nonlinearity error, provided that the amplitude of the received RF signal is higher than 2.6 V; the circuit consumes a total current of about 110 muA.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.731

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)0.0000.000

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 head0.035
GPT teacher head0.263
Teacher spread0.228 · 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