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A high-resolution HLA reference panel capturing global population diversity enables multi-ancestry fine-mapping in HIV host response
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Bibliographic record
VenueNature Genetics · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversity of ManitobaPublic Health Agency of CanadaUniversity of OttawaMcGill UniversityUniversity of CalgaryUniversity of SaskatchewanUniversité LavalUniversité de MontréalProvidence Health Care Research Institute
FundersNational Institute on Minority Health and Health DisparitiesNational Center for Research ResourcesNational Institute of Neurological Disorders and StrokeNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institute of Allergy and Infectious DiseasesNational Center for Advancing Translational SciencesNational Human Genome Research InstituteNational Heart, Lung, and Blood InstituteNational Institute on AgingNational Cancer InstituteMississippi State Department of HealthNational Institute of Environmental Health SciencesFrederick National Laboratory for Cancer ResearchNational Institute of Diabetes and Digestive and Kidney DiseasesJackson State UniversityWake Forest UniversityAmerican Diabetes AssociationNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsBiologyHost (biology)Human immunodeficiency virus (HIV)Diversity (politics)Human leukocyte antigenPopulationEvolutionary biologyComputational biologyGeneticsResolution (logic)High resolutionVirologyRemote sensingEnvironmental healthAntigenComputer science
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.875
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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.
Opus teacher head0.034
GPT teacher head0.251
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation status
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 teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Citations187
Published2021
Admission routes1
Has abstractno