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Record W2995850160 · doi:10.1183/13993003.01441-2019

Standardisation of cardiopulmonary exercise testing in chronic lung diseases: summary of key findings from the ERS task force

2019· editorial· en· W2995850160 on OpenAlexfundno aff
Thomas Radtke, Ioannis Vogiatzis, Don S. Urquhart, Pierantonio Laveneziana, Richard Casaburi, Helge Hebestreit

Bibliographic record

VenueEuropean Respiratory Journal · 2019
Typeeditorial
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
FundersMedical Research CouncilMedizinische Universität GrazNUTRIM School of Nutrition and Translational Research in MetabolismUniversiteit HasseltUniversitätsspital ZürichUniversität ZürichHospital for Sick ChildrenKarl-Franzens-Universität GrazQueen's UniversityUniversidade Federal do Rio Grande do SulKU LeuvenNational and Kapodistrian University of AthensHospital de Clínicas de Porto AlegreSorbonne UniversitéInstitut National de la Santé et de la Recherche MédicaleChiang Mai UniversityUniversiteit MaastrichtUniversity of BernEuropean Respiratory Society
KeywordsMedicineTask forceTask (project management)LungStatement (logic)Intensive care medicinePhysical therapyPhysical medicine and rehabilitationInternal medicine

Abstract

fetched live from OpenAlex

The new ERS statement facilitates standardisation of conducting, reporting and interpreting cardiopulmonary exercise tests in chronic lung diseases. The conclusions are especially valuable for multicentre comparisons and for establishing global reference data.http://bit.ly/32Y0eO0

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)0.020
metaresearch head score (Gemma)0.050
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 score0.020
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.050
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0040.002
Science and technology studies0.0010.002
Scholarly communication0.0060.004
Open science0.0040.001
Research integrity0.0120.016
Insufficient payload (model declined to judge)0.0070.009

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 head0.017
GPT teacher head0.283
Teacher spread0.266 · 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

Citations29
Published2019
Admission routes1
Has abstractyes

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