Performance evaluation of the bio-rad BioPlex 2200 multiplex system in the detection of measles, mumps, rubella, and varicella-zoster antibodies
Bibliographic record
Abstract
Measles, mumps, rubella, and varicella-zoster (MMRV) immunity testing is important in occupational screening of healthcare workers and at-risk populations. The goal of this study was to compare the performance of the Bio-Rad BioPlex 2200 MMRV multiplex fluorescence immunoassay (MFI) against two enzyme immunoassay (EIA) methods: the Bio-Rad Evolis Twin Plus measles, mumps, and varicella-zoster (MMV) IgG assay and the Abbott Architect Rubella IgG assay. Clinically uncharacterized serum specimens were obtained and analyzed using the Bio-Rad BioPlex assay and compared against the EIA methods. The Bio-Rad BioPlex demonstrated total agreement of 85.5% (95% confidence interval (CI), 78.0 to 90.7%), 92.7% (95% confidence interval (CI), 86.7 to 96.1%), 92.4% (95% confidence interval (CI), 86.9 to 95.7%), and 98.8% (95% confidence interval (CI), 93.7 to 99.8%) for measles, mumps, varicella-zoster, and rubella, respectively, against the current EIA methods. Furthermore, precision testing agreed with the manufacturer's package insert in 10 of 13 pooled samples. These data indicate that the Bio-Rad BioPlex has comparable performance to the EIA methods.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".