Evaluation of the Effects of Hypo-Magnetic Fields on Mouse Macrophage RAW264 Cells
Bibliographic record
Abstract
Hypo-magnetic fields (HMFs) are static magnetic fields that are significantly weaker than the geomagnetic field and are found in interplanetary space, on Mars, and the Moon. Understanding the mechanism of the biological effects of HMFs is an important topic in magnetobiology. Human physiology studies have shown that HMFs cause various adverse health effects such as increased blood pressure and blood flow rate. Previous studies on the effects of HMFs on cells revealed a variety of effects, such as a change in growth rate, a decrease in mitochondrial membrane potential, and an increase in reactive oxygen species. A decrease in mitochondrial membrane potential (DFm) may seriously impair cellular activity by interfering with the production of ATP. Thus, a deeper investigation of the effects of HMFs on mitochondrial function could provide clues to understanding the adverse effects of HMFs. In the present study, we used mouse macrophage RAW264 cells to investigate the effects of an HMF on mitochondrial membrane potential, mitochondrial superoxide anion (O2-) production, and cell proliferation.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".