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Record W2006002910 · doi:10.1109/isscc.2008.4523194

A 0.18¿m CMOS Integrated Sensor for the Rapid Identification of Bacteria

2008· article· en· W2006002910 on OpenAlexaff
Nasim Nikkhoo, Carina Man, Karen L. Maxwell, P.G. Gulak

Bibliographic record

VenueDigest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · 2008
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCMOSSubstrate (aquarium)ChipTransistorIntegrated circuitElectronic circuitSiliconSensitivity (control systems)Computer scienceElectrical engineeringElectronic engineeringMaterials scienceEngineeringOptoelectronicsVoltage

Abstract

fetched live from OpenAlex

This paper presents an integrated sensor for identifying bacteria that addresses drawbacks of traditional detection techniques by combining the specificity of phages with the sensitivity of integrated electronic circuits. This is the first silicon-based implementation known to date; it uses standard CMOS technology, does not require noble-metal electrodes and co-integrates active circuitry on the same substrate as the measurement site containing the bacteria. The chip was fabricated in 0.18 mum CMOS technology using thick-oxide transistors and consumes 122 muW with a 3.3 V supply for two recording channels.

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)0.001
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 score0.097
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.042
GPT teacher head0.271
Teacher spread0.229 · 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

Citations3
Published2008
Admission routes1
Has abstractyes

Explore more

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