A proficiency testing method for detecting antibodies against Brucella abortus in quantitative and qualitative serological tests
Bibliographic record
Abstract
A proficiency testing panel for detecting antibodies against Brucella abortus was developed and evaluated by both primary binding and conventional serological tests, using the guidelines of the World Organisation for Animal Health and the International Organization for Standardization Guide 43-1. All serological tests were judged satisfactory. Among the primary binding tests, the competitive enzyme-linked immunosorbent assay (ELISA 2) and the indirect enzyme-linked immunosorbent assay (ELISA 1), with standard deviation indices (z-scores) of -0.06 and 0.10, respectively, performed best. Similarly, E(n) numbers (i.e. a way of comparing different measurements of performance) of 0 for both the competitive ELISA 2 and the indirect ELISA 1 indicated that these tests performed best in the initial round of proficiency testing. The conventional serological tests all passed the panel. Comparing data from both the quantitative and qualitative tests demonstrated that this proficiency testing scheme was fit for the purpose for which it was designed.
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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 | 0.042 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".