Bibliographic record
Abstract
Ly49 receptors in rodents, like KIR in humans, play an integral role in the regulation of NK cell activity. Some inhibitory Ly49 are known to interact with specific MHC I alleles to maintain tolerance to self tissues, and NK activation is triggered upon the loss of inhibitory signals due to pathological downregulation of self MHC I. Although a virally encoded ligand has been identified that can trigger NK cytotoxicity through an activating Ly49, some activating Ly49 also recognize MHC I and the role of most activating receptors in NK effector function remains poorly defined. As many Ly49 remain orphan receptors, we describe methods to unambiguously discern receptor-ligand pairs. Additionally, we describe a method for the mutagenesis of Ly49 and MHC ligands that can be used to define the motifs conferring receptor specificity for their ligands. Further elucidation of Ly49 ligands is required to continue to define the role of Ly49 in regulating NK cell effector function and may give vital clues to the role of KIR in human health and disease.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".