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Record W4405625082 · doi:10.1016/s2665-9913(24)00275-3

Allogeneic haematopoietic stem-cell transplantation for children with refractory systemic juvenile idiopathic arthritis and associated lung disease: outcomes from an international, retrospective cohort study

2024· article· en· W4405625082 on OpenAlexaff
Daniel Drozdov, Elisabeth Bendstrup, Mia Glerup, Ellen‐Margrethe Hauge, Tania Nicole Masmas, Elvira Cannizzaro Schneider, Ulrike Zeilhofer, Rolla Abu‐Arja, Kyla Driest, Joseph H. Oved, Karen Onel, Christen L. Ebens, Deepakbabu Chellapandian, Shanmuganathan Chandrakasan, Sampath Prahalad, Johannes Roth, Susan E. Prockop, Juliana Silva, Andrew H. Schapiro, Christopher W. Towe, Sharat Chandra, Alexei A. Grom, Grant S. Schulert, Rebecca Marsh

Bibliographic record

VenueThe Lancet Rheumatology · 2024
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsChildren's Hospital of Eastern Ontario
FundersNational Cancer InstituteNational Institutes of HealthNational Institute of Arthritis and Musculoskeletal and Skin DiseasesMarcus Foundation
KeywordsJuvenileMedicineStem cellRefractory (planetary science)TransplantationLung transplantationRetrospective cohort studyHematopoietic stem cell transplantationArthritisHaematopoiesisDiseaseCohortLungJuvenile rheumatoid arthritisImmunologyInternal medicineBiology

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.014
GPT teacher head0.292
Teacher spread0.278 · 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 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 routes1
Has abstractno

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