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Record W1994822124 · doi:10.7705/biomedica.v22i1.1137

La inmunofluorescencia indirecta como prueba suplementaria para confirmar infección por VIH-1: experiencia del Instituto Nacional de Salud, 1993-2000

2002· article· es· W1994822124 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBiomédica · 2002
Typearticle
Languagees
FieldImmunology and Microbiology
TopicT-cell and Retrovirus Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)GynecologyMedicineBiologyMolecular biologyVirology

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.003

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 head0.022
GPT teacher head0.257
Teacher spread0.235 · 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