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Record W2928687952 · doi:10.1016/j.immuni.2019.03.005

Loss of Neurological Disease HSAN-I-Associated Gene SPTLC2 Impairs CD8+ T Cell Responses to Infection by Inhibiting T Cell Metabolic Fitness

2019· article· en· W2928687952 on OpenAlexfundno aff
Jingxia Wu, Sicong Ma, Roger Sandhoff, Yanan Ming, Agnes Hotz‐Wagenblatt, Vincent Timmerman, Nathalie Bonello‐Palot, Beate Schlotter‐Weigel, Michaela Auer‐Grumbach, Pavel Seeman, Wolfgang N. Löscher, Markus Reindl, Florian Weiß, Eric Y. Mah, Nina Weisshaar, Alaa Madi, Kerstin Möhr, Tilo Schlimbach, Rubí M.-H. Velasco Cárdenas, Jonas Koeppel, Florian Grünschläger, Lisann Müller, Maren Baumeister, Britta Brügger, Michael Schmitt, Guido Wabnitz, Yvonne Samstag, Guoliang Cui

Bibliographic record

VenueImmunity · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSphingolipid Metabolism and Signaling
Canadian institutionsnot available
FundersNational Institutes of HealthOffice of ScienceAustrian Science FundHorizon 2020 Framework ProgrammeDeutsches KrebsforschungszentrumDeutsche ForschungsgemeinschaftRare Disease FoundationNational Center for Advancing Translational SciencesBC Children’s Hospital FoundationMinisterstvo Zdravotnictví Ceské RepublikyAssociation Belge contre les Maladies Neuro-Musculaires
KeywordsBiologyCytotoxic T cellT cellCD8XBP1Endoplasmic reticulummTORC1InflammationSphingolipidIntracellularImmunologyUnfolded protein responseCell biologyProgrammed cell deathImmune systemSignal transductionApoptosisBiochemistryPI3K/AKT/mTOR pathwayGene

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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 score0.055
Threshold uncertainty score0.839

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.237
Teacher spread0.229 · 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

Citations55
Published2019
Admission routes1
Has abstractno

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