La inmunofluorescencia indirecta como prueba suplementaria para confirmar infección por VIH-1: experiencia del Instituto Nacional de Salud, 1993-2000
Bibliographic record
Abstract
A team at the Colombian National Institute of Health (INS) has demonstrated the usefulness and suitability of the Immunofluorescent Antibody Test (IFAT) as a confirmatory assay for HIV-1. The assay followed a flow chart method recommended by the Pan American Health Organization (PAHO) and the Federal Center for AIDS of Canada. The specificity of the IFAT assay (IFI-VIH1-INS) for 925 serum samples was 100% when compared with two different Western blot (WB) assays. The IFI-VIH1-INS showed a sensitivity of 61% across 6,137 human sera. Although its specificity is excellent, the sensitivity of the IFI-VIH1-INS assay is slightly lower than other IFAT assays (41% of 975 samples were indeterminate in both IFAT assays and WB tests). After implementation of this assay in more than 6,000 serum samples between 1993 and 2000, the INS saved more than Col $340,000,000 or US $170.000 in its HIV1 testing program.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".