Magnetic Fields Trump Oxygen in Controlling the Death of Erythro-Leukemia Cells
Bibliographic record
Abstract
Expansions in power and telecommunications systems have created a new electromagnetic environment. Here, we compare the death rate of human cancer cells in vitro in the pre-industrial electromagnetic environment of the past (“Zero Field”) with that of an electromagnetic environment typical of contemporary human exposures (“Incubator Field”). A cell incubator provides magnetic fields comparable to those in the current human environment. Steel shields divert those same fields away from cell preparations in the “pre-industrial” assays. Large changes in oxygen levels are provided by nitrogen or atmospheric gas over the cell cultures. Human cancer cells are then separated according to three categories: necrotic, early apoptotic, or late apoptotic. The results are compiled for two variables, magnetic field and oxygen, in 16 different situations (“Transitions”) likely to occur in the human body under present living conditions. We find that magnetic fields are a more powerful determinant of cell death than oxygen, and induce death by different mechanisms. This has important implications for the reproducibility of in vitro biological experiments focusing on cell survival or metabolism, and for public health. The rate and mechanisms of cell death are critical to many chronic human ailments such as cancer, neurological diseases, and diabetes.
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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) | 0.000 | 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 | 0.000 |
| 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".