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Record W2185196628 · doi:10.1189/jlb.69.3.317

Molecular motors involved in T cell receptor clusterings

2001· article· en· W2185196628 on OpenAlexaff
Connie M. Krawczyk, Josef Penninger

Bibliographic record

VenueJournal of Leukocyte Biology · 2001
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsAmgen (Canada)University of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsBiologyImmunological synapseReceptorCell biologyCytoskeletonT-cell receptorGTPaseAntigenMolecular motorImmune systemT cellCellImmunologyBiochemistry

Abstract

fetched live from OpenAlex

Engagement of antigen receptors on T and B cells triggers reorganization of the cytoskeleton and ordered clustering of cell surface receptors. These receptor clusters constitute spatially organized signaling machines and form the immune synapse with antigen-presenting cells. Formation of supramolecular activation clusters appear to be essential to induce functional lymphocyte responses and have been implicated as molecular mechanisms of costimulation. The Vav1-Rho-GTPase-WASP pathway constitutes a molecular motor that relays antigen receptor stimulation to changes in the cytoskeleton and receptor clustering.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.880

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.231
Teacher spread0.219 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations29
Published2001
Admission routes1
Has abstractyes

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