MétaCan
Menu
Back to cohort

Ly-49 Receptors and Their Functions

2004· review· en· W2079823347 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCritical Reviews in Immunology · 2004
Typereview
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsHeritage Medical Research ClinicUniversity of Alberta
Fundersnot available
KeywordsReceptorBiologyMajor histocompatibility complexMHC class ICell biologyChemokine receptorImmunologyGeneGeneticsChemokine

Abstract

fetched live from OpenAlex

Ly-49 receptors are lectin-like type II transmembrane disulfide-bonded homodimers expressed on natural killer (NK) cells and some T-cell subsets. Cell-mediated cytotoxicity and release of cytokines/chemokines are functions regulated by Ly-49 recognition of class I major histocompatibility complex proteins (MHC-I) or virus-encoded MHC-like product(s). Here we examine diversity and conservation found within the Ly-49 gene family and explore the importance of polymorphism in Ly-49 receptor expression, specificity, and function. Several parallels are evident between Ly-49 receptors in rodents and killer Ig-related (KIR) receptors in humans, including receptor gene amplification and diversification, expression patterns, MHC-I specificity, shared signaling, and ultimate effects on NK-cell functions. These similarities suggest that insights gained in defining Ly-49 receptor functions in small animal models could have direct relevance to existing clinical challenges where there may be opportunities to manipulate human NK cells and KIR receptors for therapeutic benefit.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, 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: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.010

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 head0.047
GPT teacher head0.336
Teacher spread0.289 · 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