The relationship between perceived and performance fatigability in severe fibrotic interstitial lung disease: a prospective, cross-sectional study
Bibliographic record
Abstract
A sizeable fraction (∼70%) of patients with fibrotic interstitial lung disease ( f -ILD) suffer from and seek medical advice due to debilitating symptoms of fatigue [1]. Broadly, fatigue can be defined as an unrelenting feeling of tiredness or lack of energy that is not improved by rest. Fatigue is, however, a complex symptom thus remaining poorly understood and appropriately treated in f -ILD [2]. Footnotes This manuscript has recently been accepted for publication in the ERJ Open Research . It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJOR online. Please open or download the PDF to view this article. Conflict of interest: MM was a recipient of a Long-Term Research Fellowship (LTRF 2018) from the European Respiratory Society to support his postdoctoral stay at Queen's University. This ancillary study is a part of a larger project aiming at investigating the physiological effect of O2 supplementation on peripheral muscle fatigability in f -ILD. We thus want to disclose that these data ( i.e. peripheral muscle fatigability) have been published elsewhere [8]. However, other data and the rationale/analyses we herein present are original and unpublished.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".