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Record W2589346924 · doi:10.1055/s-0037-1598414

Is there an association between physical activity and lung function in lung-healthy German adults? – Results from the KORA FF4 study

2017· article· en· W2589346924 on OpenAlexaff
Agnes Luzak, Stefan Karrasch, Barbara Thorand, Dennis Nowak, Rolf Holle, Annette Peters, Holger Schulz

Bibliographic record

VenuePneumologie · 2017
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsInstitute of Health Economics
Fundersnot available
KeywordsMedicineDLCOLung functionLungLung volumesInternal medicineCohortPhysical activityCardiologyAssociation (psychology)Pulmonary function testingGermanDiffusing capacityVital capacityPhysical therapyPsychology

Abstract

fetched live from OpenAlex

Being active is associated with beneficial health effects for subjects with chronic lung diseases. The association of physical activity (PA) with lung function in lung-healthy populations has been rarely analysed. Therefore, our aim was to investigate the association of accelerometer-based PA with spirometric parameters, maximal inspiratory mouth pressure (PImax) and pulmonary gas exchange capacity related to alveolar volume (TLCO/VA) in lung-healthy adults from the KORA FF4 cohort.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.031
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.384
Teacher spread0.332 · 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 teacher head, 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

Citations0
Published2017
Admission routes1
Has abstractyes

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