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Record W3133229471 · doi:10.1183/23120541.00778-2020

Time on therapy and concomitant medication use of mepolizumab in Canada: a retrospective cohort study

2021· article· en· W3133229471 on OpenAlexafffundabout
Jason K. Lee, Alain Gendron, Michelle L Knutson, Niroshan Sriskandarajah, Lawrence Mbuagbaw, Stephen G. Noorduyn

Bibliographic record

VenueERJ Open Research · 2021
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsImpactMcMaster UniversityUniversity of TorontoUniversité de MontréalAstraZeneca (Canada)
FundersAstraZeneca Canada
KeywordsMedicineConcomitantMepolizumabRetrospective cohort studyCohortInternal medicinePediatricsFamily medicineEosinophil

Abstract

fetched live from OpenAlex

About half of the patients who initiate therapy with mepolizumab discontinue treatment within the first or second year. Concomitant use of short-acting β2-agonists and oral corticosteroids drops during mepolizumab use.https://bit.ly/3aRISqS

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.111
GPT teacher head0.400
Teacher spread0.289 · 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

Citations4
Published2021
Admission routes3
Has abstractyes

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