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Record W2048395913 · doi:10.1038/icb.2010.119

Molecular and genetic parameters defining T‐cell clonal selection

2010· review· en· W2048395913 on OpenAlexafffund
Nathalie Labrecque, Troy A. Baldwin, Sylvie Lesage

Bibliographic record

VenueImmunology and Cell Biology · 2010
Typereview
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversity of AlbertaUniversité de MontréalHôpital Maisonneuve-Rosemont
FundersCanadian Institutes of Health Research
KeywordsBiologyClonal deletionClonal selectionSelection (genetic algorithm)RepertoireNegative selectionSomatic evolution in cancerPositive selectionGeneticsGenomeComputational biologyEvolutionary biologyT cellImmunologyGeneT-cell receptorImmune system

Abstract

fetched live from OpenAlex

Clonal selection of T cells occurs in the thymus and is responsible for generating a useful and functional repertoire of T cells. Aberrations in clonal selection result in altered T-cell homeostasis in the secondary lymphoid organs ranging from an absence of T cells to an overabundance of autoreactive T cells. The advent of new technologies facilitating the manipulation of the mouse genome has helped refine our understanding of the molecular and genetic pathways involved in clonal selection and has also revealed a high degree of complexity. Herein, we attempt to review recent advances in thymic selection processes, achieved mostly through genetic manipulations.

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 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), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.011
GPT teacher head0.237
Teacher spread0.226 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations31
Published2010
Admission routes2
Has abstractyes

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