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Record W7002179391

Modelos celulares de inmunodeficiencias congénitas de linfocitos T: aplicación a estudios de expresión y señalización

2019· dissertation· es· W7002179391 on OpenAlexfundno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2019
Typedissertation
Languagees
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsnot available
FundersNIHR Cambridge Biomedical Research CentreErasmus Universitair Medisch Centrum RotterdamNational Institutes of HealthUniversità degli Studi di BresciaCentro Nacional de Investigaciones CardiovascularesUniversité Paris DescartesInstituto de Salud Carlos IIIUniversidad Complutense de MadridCambridge University HospitalsNational Cancer InstituteBaxaltaUniversity College LondonCSL BehringImmunodeficiency CanadaNational Institute for Health and Care ResearchComunidad de MadridWellcome TrustAnkara UniversitesiUniversity of CambridgeRoyal Free London NHS Foundation TrustUniversity of MelbourneMarch of Dimes Foundation
KeywordsQualitative analysisT-cell receptorCD3
DOInot available

Abstract

fetched live from OpenAlex

Los linfocitos T desempeñan uno de los papeles más cruciales en la respuesta inmunológica: la respuesta adaptativa. La activación del linfocito T a través de su receptor, el TCR, desencadena una extensa red de señalización con decenas de proteínas intermediarias diferentes para generar respuestas efectoras adecuadas. El TCR es un complejo octamérico constituido por diferentes cadenas entre las que se encuentra CD247. La ausencia de cualquiera de los componentes del TCR se traduce en un defecto de desarrollo o función de los linfocitos T causante de SCID. Además, en los casos de deficiencias de CD247 se han descrito mutaciones somáticas minoritarias que son capaces de restaurar el defecto de expresión del TCR..

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.017
GPT teacher head0.246
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2019
Admission routes1
Has abstractyes

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