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Record W2915560700 · doi:10.1016/j.jaci.2019.02.014

F-BAR domain only protein 1 (FCHO1) deficiency is a novel cause of combined immune deficiency in human subjects

2019· letter· en· W2915560700 on OpenAlexfundno aff
Enrica Calzoni, Craig D. Platt, Sevgi Keleş, Hye Sun Kuehn, Sarah Beaussant-Cohen, Yu Zhang, Júlia Pázmándi, Gaetana Lanzi, Francesca Pala, Azzeddine Tahiat, Hasibe Artaç, Raúl Jiménez Heredia, Jasmin Dmytrus, İsmail Reisli, Vedat Uygun, Dilara Fatma Kocacık Uygun, Ayşen Bingöl, Erdem Basaran, Kamel Djenouhat, Nafissa Benhalla, Chafa Bendahmane, Melike Emiroğlu, Tomas Kirchhausen, Mithun Pasham, Jennifer Jones, Jacqueline G. Wallace, Lixin Zheng, Bertrand Boisson, Fulvio Porta, Sergio D. Rosenzweig, Helen C. Su, Silvia Giliani, Michael J. Lenardo, Raif S. Geha, Kaan Boztuǧ, Janet Chou, Luigi D. Notarangelo

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2019
Typeletter
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsnot available
FundersNational Institutes of HealthUniversità degli Studi di BresciaHospital for Sick ChildrenNational Institute of Allergy and Infectious DiseasesUniversité Paris DescartesUniversität WienDivision of Intramural Research, National Institute of Allergy and Infectious DiseasesInstitut National de la Santé et de la Recherche MédicaleNational Health and Medical Research CouncilInstitut des maladies génétiques ImagineErnest Heine Family FoundationNIH Clinical CenterNecmettin Erbakan ÜniversitesiMedizinische Universität WienAkdeniz ÜniversitesiÖsterreichischen Akademie der WissenschaftenNHLBI Division of Intramural ResearchCancer Research Institute
KeywordsImmune systemMedicineImmunology

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 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)0.002
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 score0.005
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.282
Teacher spread0.262 · 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

Citations29
Published2019
Admission routes1
Has abstractno

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