Bibliographic record
Abstract
Dear Editor-in-Chief: The issue of a possible reduction of maximal oxygen intake in patients with chronic fatigue syndrome (CFS) (2,4) has important implications for the clinical treatment of this condition. However, in defending criticism of their view that maximal oxygen intake is unchanged by CFS, Sargent and Scroop (1) have clouded the issue by their statement “The two critical measures of exercise capacity are maximal oxygen uptake and the lactate threshold . . . they are confusing exercise capacity with exercise performance. . ..” Dimensional analysis shows that maximal oxygen intake is a rate, or a measure of aerobic power (3), rather than a capacity. Aerobic capacity is the ability to sustain a high rate of oxygen intake for a substantial time. A small reduction of maximal oxygen intake (often <10%) may be anticipated in CFS, and this is either statistically significant (5) or not (2), depending on the investigator’s sample size, quality of methodology, and the overall consistency of his or her data. However, CFS usually increases perceptions of effort, and it is thus likely to cause a substantial and disabling reduction in the individual’s ability to sustain aerobic effort. A focus upon treating a deficit of maximal aerobic power may be appropriate for an athlete who is competing over a relatively short distance, but efforts to increase aerobic capacity will do more to enhance the quality of life for the average patient. Roy J. Shephard, M.D., Ph.D., D.P.E., FACSM
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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.
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 source (direct Gemma or distilled Codex), 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".