Bibliographic record
Abstract
It is well established that altering O2 delivery to contracting skeletal muscle affects human performance. In this respect, a reduced O2 supply (e.g., hypoxia) increases the rate of muscle fatigue, whereas increasing O2 supply (e.g., hyperoxia) reduces the rate of fatigue. Interestingly, the faster onset of fatigue in moderate hypoxia does not appear to be a consequence of mitochondrial O2 limitation because these effects occur at submaximal rates of O2 consumption for these conditions and at O2 tensions well above that which impairs mitochondrial O2 uptake in vitro. Alterations in O2 supply modulate the regulation of cellular respiration and may affect the onset of impaired Ca2+ handling with fatigue. Specifically, changes in O2 supply alter the coupling between phosphocreatine hydrolysis and O2 uptake in contracting muscles, which by determining the rate of inorganic phosphate (Pi) accumulation may affect Ca2+ release. Partial ischemia differs somewhat in that the reduction in force could be due to reduced O2 supply and/or impaired removal of metabolic by-products secondary to insufficient blood flow. Nonetheless, recent evidence shows a parallel decline and restoration of force with alterations in O2 supply but not blood flow alone during submaximal contractions. Furthermore, the causes of fatigue are similar when O2 is plentiful and when it is reduced.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".