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Record W4391289721 · doi:10.1016/j.jaci.2024.01.013

Allogeneic hematopoietic cell transplantation is effective for p47phox chronic granulomatous disease: A  Primary Immune Deficiency Treatment Consortium study

2024· article· en· W4391289721 on OpenAlexafffund
Eyal Grunebaum, Danielle E. Arnold, Brent R. Logan, Suhag Parikh, Rebecca Marsh, Linda M. Griffith, Kanwaldeep Mallhi, Deepak Chellapandian, Stephanie Si Lim, Christin Deal, Neena Kapoor, Luis Murguía-Favela, Emilia Liana Falcone, Vinod K. Prasad, Fabien Touzot, Jack Bleesing, Shanmuganathan Chandrakasan, Jennifer Heimall, Jeffrey J. Bednarski, Larisa Broglie, Hey Chong, Malika Kapadia, Susan E. Prockop, Blachy J. Dávila Saldaña, Edo Schaefer, Andrea Bauchat, Pierre Teira, Sharat Chandra, Mark Parta, Morton J. Cowan, Christopher C. Dvorak, Élie Haddad, Donald B. Kohn, Luigi D. Notarangelo, Sung‐Yun Pai, Jennifer M. Puck, Michael A. Pulsipher, Troy R. Torgerson, Harry L. Malech, Elizabeth M. Kang, Jennifer W. Leiding

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicNeutrophil, Myeloperoxidase and Oxidative Mechanisms
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de MontréalMontreal Clinical Research InstituteAlberta Children's HospitalSickKids FoundationHospital for Sick Children
FundersNational Institute of Neurological Disorders and StrokeNational Institute of Allergy and Infectious DiseasesOffice of Naval ResearchCanadian Institutes of Health ResearchNational Center for Advancing Translational SciencesHealth Resources and Services AdministrationNational Cancer InstituteUniversity of TorontoNational Heart, Lung, and Blood InstituteHospital for Sick ChildrenNHLBI Division of Intramural ResearchPediatric Blood and Marrow Transplant ConsortiumCSL BehringSt. Baldrick's FoundationVaccine Research CenterCalifornia Institute of Regenerative MedicineCalifornia Institute for Regenerative MedicineNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsChronic granulomatous diseaseMedicineHematopoietic stem cell transplantationPrimary immunodeficiencyCumulative incidenceTransplantationImmunologyInflammatory bowel diseaseInternal medicineGastroenterologyIncidence (geometry)Immune systemDisease

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.291
Teacher spread0.277 · 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 designObservational
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

Citations9
Published2024
Admission routes2
Has abstractno

Explore more

Same venueJournal of Allergy and Clinical ImmunologySame topicNeutrophil, Myeloperoxidase and Oxidative MechanismsFrench-language works237,207