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Record W2904259512 · doi:10.1183/13993003.01848-2018

Triple therapy trials in COPD: a precision medicine opportunity

2018· editorial· en· W2904259512 on OpenAlexaff
Samy Suissa, Amnon Ariel

Bibliographic record

VenueEuropean Respiratory Journal · 2018
Typeeditorial
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsLamaCOPDMedicinePrecision medicineClinical trialInternal medicineIntensive care medicinePhysical therapyPathology

Abstract

fetched live from OpenAlex

Recent trials comparing triple therapy with LAMA/LABA in COPD reveal a peculiar pattern in the timing of exacerbations, with the benefit of triple therapy exclusively in the first month, suggesting a precision medicine opportunity in COPD treatmenthttp://ow.ly/WBFb30m9ZeM

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)0.034
metaresearch head score (Gemma)0.085
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.034
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.085
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0040.002
Science and technology studies0.0020.004
Scholarly communication0.0080.008
Open science0.0050.002
Research integrity0.0260.042
Insufficient payload (model declined to judge)0.0060.005

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 head0.117
GPT teacher head0.396
Teacher spread0.279 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations60
Published2018
Admission routes1
Has abstractyes

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