Efficacy of non-pharmacological treatments of fatigue in individuals with end-stage disease
Bibliographic record
Abstract
Commentary on: Mochamat, Cuhls H, Sellin J, et al . Fatigue in advanced disease associated with palliative care: a systematic review of non-pharmacological treatments. Palliat Med 2021; 35:697–709. doi: 10.1177/02692163211000628 Fatigue is reported as the principal concern in 5%–10% of primary care visits and a further 10% of family practice consultations. In the broader community, 5%–20% of the general population experience fatigue and almost half report its presence 1 year later.1 The majority of individuals with cancer experience fatigue (59%–100%), depending on disease progression and/or treatment regimes.2 While 80% of individuals living with fatigue rate it as significant to …
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".