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Record W2734925872 · doi:10.1016/j.protcy.2017.04.104

Monitoring Growth and Antibiotic Susceptibility of Escherichia coli with Photoluminescence Emitting Semiconductor Biochips

2017· article· en· W2734925872 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

VenueProcedia Technology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicbioluminescence and chemiluminescence research
Canadian institutionsInstitut interdisciplinaire d'innovation technologiqueUniversité de Sherbrooke
Fundersnot available
KeywordsBiochipPhotoluminescenceEscherichia coliBacteriaMaterials scienceDissolutionOptoelectronicsAntibioticsNanotechnologyChemistryBiologyBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Growth and antibiotic sensitivity of Escherichia coli were evaluated with an innovative method based on photocorrosion of biofunctionalized GaAs/AlGaAs quantum well (QW) biochips. The formation of surface oxides and dissolution of a limited thickness GaAs cap material results in the appearance of a characteristic maximum in a time-dependent plot of the photoluminescence (PL) emitting biochip. A position of the PL maximum depends on the electrostatic interaction between bacteria and the biochip surface, and it becomes delayed with increasing concentration of bacteria growing on the biochip surface. We demonstrate detection of the bacteria reaction to antibiotics within less than 3 hours.

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)0.001
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 score0.420
Threshold uncertainty score0.806

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.015
GPT teacher head0.271
Teacher spread0.255 · 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