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Record W4410567865 · doi:10.1080/15412555.2025.2501548

Meta-Analysis Should Not Be Simply Conducted By Default: Biologic Therapy for Chronic Obstructive Pulmonary Disease

2025· article· en· W4410567865 on OpenAlexafffund
Jean Bourbeau, Bryan Ross, Darcy D. Marciniuk

Bibliographic record

VenueCOPD Journal of Chronic Obstructive Pulmonary Disease · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of SaskatchewanMcGill University Health Centre
FundersFonds de Recherche du Québec - SantéCovis PharmaCanadian Institutes of Health ResearchSaskatchewan Health Research FoundationMcGill UniversityMcGill University Health CentreNational Institutes of HealthGrifolsCanadian Thoracic SocietySanofiGlaxoSmithKlineAstraZeneca
KeywordsMedicinePulmonary diseaseCOPDIntensive care medicineDiseaseInternal medicinePhysical therapy

Abstract

fetched live from OpenAlex

Dear Editor,We read with great interest the article ‘Biologic Therapies for Chronic Obstructive Pulmonary Disease: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials’ [1]...

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)0.068
metaresearch head score (Gemma)0.323
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.932
Threshold uncertainty score0.359

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0680.323
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0080.005
Bibliometrics0.0030.004
Science and technology studies0.0020.004
Scholarly communication0.0080.008
Open science0.0070.002
Research integrity0.0170.028
Insufficient payload (model declined to judge)0.0050.003

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 head0.070
GPT teacher head0.348
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 source (direct Gemma or distilled Codex), not a consensus.

Study designMeta-analysis
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 routes2
Has abstractyes

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Same venueCOPD Journal of Chronic Obstructive Pulmonary DiseaseSame topicChronic Obstructive Pulmonary Disease (COPD) ResearchFrench-language works237,207