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Record W2559109761 · doi:10.1016/j.jaci.2016.09.050

Combined immunodeficiency and hypoglycemia associated with mutations in hypoxia upregulated 1

2016· letter· en· W2559109761 on OpenAlexaboutno aff
Emma Haapaniemi, Christopher L. Fogarty, Salla Keskitalo, Shintaro Katayama, Helena Vihinen, Mette Ilander, Satu Mustjoki, Kaarel Krjutškov, Markku Lehto, Timo Hautala, Ove Eriksson, Eija Jokitalo, Vidya Velagapudi, Markku Varjosalo, Mikko Seppänen, Juha Kere

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2016
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBlood disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsHypoglycemiaImmunodeficiencyHypoxia (environmental)Downregulation and upregulationMedicineSevere combined immunodeficiencyImmunologyBiologyInternal medicineGeneticsChemistryGeneImmune systemInsulinOxygen

Abstract

fetched live from OpenAlex

Immunodeficiencies featuring congenital neutropenia have varying presentations, including life-threatening bacterial infections. These conditions can be caused by defects in more than 10 genes.1-3 Most genes operate in the endolysosomal system, and their perturbed action induces unfolded protein response and altered mitochondrial function. The resulting cell stress drives neutrophils to apoptosis.1-3

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.261
Teacher spread0.250 · 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 designCase report
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

Citations21
Published2016
Admission routes1
Has abstractyes

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