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Record W4399547556 · doi:10.1183/20734735.0272-2023

The importance of addressing physical activity and exercise intolerance in our patients with COPD

2024· editorial· en· W4399547556 on OpenAlexaff
Roger Goldstein, José R. Jardim, Linda Nici, Jonathan Raskin, Martijn A. Spruit, Richard ZuWallack

Bibliographic record

VenueBreathe · 2024
Typeeditorial
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsWest Park Healthcare CentreUniversity of Toronto
Fundersnot available
KeywordsCOPDPhysical activityBit (key)Exercise intoleranceMedicinePhysical therapyPhysical exercisePhysical medicine and rehabilitationInternal medicineComputer scienceComputer securityHeart failure

Abstract

fetched live from OpenAlex

In one of his classical works, De Anima (circa 350 BCE), Aristotle considered movement to be an integral component of the essence of animal souls [1]. 2000 or so years later and viewed from the perspective of evolutionary theory, the ability to move is instrumental to survival and passing on one's genes through finding and acquiring nourishment, avoiding predators, reaching more favourable microclimates, and better locating a mate. Both increased physical activity and increased exercise capacity are desired outcomes in the treatment of individuals with COPD

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)0.004
metaresearch head score (Gemma)0.019
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 score0.014
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0020.001
Research integrity0.0140.021
Insufficient payload (model declined to judge)0.0090.005

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 head0.012
GPT teacher head0.312
Teacher spread0.300 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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