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Record W1976672229 · doi:10.1016/j.jaci.2014.12.1930

Inherited CARD9 deficiency in otherwise healthy children and adults with Candida species–induced meningoencephalitis, colitis, or both

2015· article· en· W1976672229 on OpenAlexaff
Fanny Lanternier, Seyed Alireza Mahdaviani, Elisa Barbati, H. Chaussade, Y. Koumar, Romain Lévy, Blandine Denis, Anne‐Sophie Brunel, Sophie Martin, Michèle Loop, Julie Peeters, Ariel de Selys, Jean Vanclaire, Christiane Vermylen, Marie‐Cécile Nassogne, Olga Chatzis, Luyan Liu, Mélanie Migaud, Vincent Pedergnana, Guillaume Désoubeaux, Grégory Jouvion, Fabrice Chrétien, Ilad Alavi Darazam, Alejandro A. Schäffer, Mihai G. Netea, Jean Jacques De Bruycker, Louis Bernard, Jacques Reynes, Noureddine Amazrine, Laurent Abel, Dimitri Van der Linden, Capucine Pïcard, Olivier Lortholary, Davood Mansouri, Jean‐Laurent Casanova, Anne Puel

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2015
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
FundersNational Center for Research ResourcesNational Institutes of HealthAstellas PharmaInstitut National de la Santé et de la Recherche MédicaleNational Center for Advancing Translational SciencesAgence Nationale de la RechercheCliniques Universitaires Saint-LucRegeneron PharmaceuticalsViiV HealthcareUniversité Paris DescartesBiogenSt. Giles FoundationGlaxoSmithKlinePfizerUniversité de MontpellierGilead SciencesSanofi
KeywordsMeningoencephalitisCandida albicansColitisBiologyCandida glabrataImmunologyGastrointestinal tractMedicineMicrobiologyInternal medicine

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.041
GPT teacher head0.334
Teacher spread0.293 · 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

Citations219
Published2015
Admission routes1
Has abstractno

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