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Record W6997484853

Work in progress: validation of an oligonucleotide microarray for the detection of Brucella spp. virulence genes

2007· article· en· W6997484853 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2007
Typearticle
Languageen
FieldVeterinary
TopicBrucella: diagnosis, epidemiology, treatment
Canadian institutionsnot available
Fundersnot available
KeywordsBrucellaVirulenceMicroarrayGeneMicroarray analysis techniquesDNA microarrayIdentification (biology)Oligonucleotide
DOInot available

Abstract

fetched live from OpenAlex

The primary aim of this study was to create a diagnostic microarray for the identification of Brucella sp. of clinical importance in both the medical and veterinary field. The microarray should be able to identify other organisms that may cause abortions in animals or that may elicit an immunological response similar to that of Brucella sp. Oligonucleotide probes were designed specific to the most common species found to cause zoonotic pathologies; the sequences were designed from the following genes; 16S rRNA, 16S-23S rRNA intergenic transcribed spacer region (ITS), β-subunit of the DNA-dependent RNA polymerase (rpoβ), heat shock protein (hsp), gyrase beta (gyrβ) and from other genes usually used as PCR targets. This microarray also contains virulence factor genes specific to the Brucella sp., Preliminary results confirmed the microarray as an effective one-step method for the identification of Brucella sp. from culture even if, the validation is still in progress.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.057
GPT teacher head0.342
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2007
Admission routes1
Has abstractyes

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