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Record W2071910361 · doi:10.1109/jssc.2014.2312571

Nanostructured CMOS Wireless Ultra-Wideband Label-Free PCR-Free DNA Analysis SoC

2014· article· en· W2071910361 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.

Bibliographic record

VenueIEEE Journal of Solid-State Circuits · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsCMOSWidebandChipMicrosystemMaterials scienceTransmitterDynamic rangeChopperChannel (broadcasting)Electronic engineeringElectrical engineeringComputer scienceOptoelectronicsVoltageNanotechnologyEngineering

Abstract

fetched live from OpenAlex

A fully integrated 54-channel wireless fast-scan cyclic voltammetry DNA analysis SoC is presented. The microsystem includes 546 3D nanostructured and 54 2D gold DNA sensing microelectrodes as well as 54 pH sensors. Each channel consists of a chopper-stabilized current conveyer with dynamic element matching. It is utilized as the amperometric readout circuit with a linear resolution from 8.6 pA to 350 nA. The on-chip programmable waveform generator provides a wide range of user-controlled rate and amplitude parameters with a maximum scan range of 1.2 V, and scan rate ranging between 0.1 mV/sec to 300 V/sec. A digital ultra-wideband transmitter based on a delay line architecture provides wireless data communication with data rates of up to 50 Mb/sec while consuming 400 µW. The 3 mm × 3 mm prototype fabricated in a 0.13 µm standard CMOS technology has been validated in prostate cancer synthetic DNA detection with 10 aM label-free PCR-free detection limit. Each channel occupies an area of only 0.06 mm 2 and consumes 42 µW of power from a 1.2 V supply.

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)0.001
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 score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.262
Teacher spread0.252 · 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