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Record W4407295105 · doi:10.1016/j.jaci.2024.12.074

Study characteristics of randomized controlled trials evaluating maintenance oral corticosteroid use for the management of asthma: an AAAAI/ACAAI Joint Task Force on Practice Parameters systematic review

2025· article· en· W4407295105 on OpenAlexaff
Kyle Tong, Daniel Rayner, Daniela Constantinescu, A. Chu, Xiajing Chu, Sharmilee M. Nyenhuis, Bradley E. Chipps, Elliot Israel, Kaharu Sumino, Tamara T. Perry, Katherine Rivera‐Spoljaric, Flavia Hoyte, John Oppenheimer, Leonard B. Bacharier, Giselle Mosnaim, Matthew A. Rank, Derek K. Chu

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2025
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcMaster UniversityUniversity of Ottawa
Fundersnot available
KeywordsTask forceAsthmaRandomized controlled trialTask (project management)MedicinePhysical therapyMedical physicsComputer scienceEngineeringSurgerySystems engineeringInternal 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)0.045
metaresearch head score (Gemma)0.186
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0450.186
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0160.027
Bibliometrics0.0040.005
Science and technology studies0.0010.002
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.096
GPT teacher head0.434
Teacher spread0.338 · 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.

Study designSystematic review
DomainMethods
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

Citations0
Published2025
Admission routes1
Has abstractno

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