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Record W2128149124 · doi:10.1089/aid.2010.0175

Unusual Cluster of HIV Type 1 Dual Infections in Groningen, The Netherlands

2010· article· en· W2128149124 on OpenAlexaff
Antoinette C. van der Kuyl, Suzanne Jurriaans, Nicole Back, Herman G. Sprenger, Tjip S. van der Werf, Fokla Zorgdrager, Ben Berkhout, Marion Cornelissen

Bibliographic record

VenueAIDS Research and Human Retroviruses · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsInstitute of Infection and Immunity
FundersRijksinstituut voor Volksgezondheid en MilieuNational Institutes of HealthStichting Sanquin Bloedvoorziening
KeywordsMen who have sex with menHuman immunodeficiency virus (HIV)VirologyMedicineStrain (injury)Internal medicineSyphilis

Abstract

fetched live from OpenAlex

In 2007, 14 Dutch men having sex with men (MSM) filed a criminal case against three other men, accusing them of administering sedative drugs, sexual abuse, and deliberate subcutaneous injections with HIV-1-infected blood. Medical files showed that 9 of 17 men presented with an acute HIV-1 infection syndrome during 2006-2007. Two men were not infected with HIV. Analysis of viral strains in the 12 MSM and the three alleged donors showed that one donor and six recipients were double infected with two distinct HIV-1 subtype B strains, while another five recipients and one donor were single infected with either strain. Two men were infected with unrelated strains. The finding of multiple double infections with very similar HIV-1 strains is without precedent.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.049
GPT teacher head0.360
Teacher spread0.312 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2010
Admission routes1
Has abstractyes

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