Work in progress: validation of an oligonucleotide microarray for the detection of Brucella spp. virulence genes
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".