Bibliographic record
Abstract
Abstract The extremely low‐frequency (ELF) range generally consists of frequencies from greater than zero to 2 kHz. Electric fields are produced by charges, whereas magnetic fields are produced by charges in motion. Several organizations publish occupational and public exposure guidelines for electric and magnetic fields that are protective against acute effects and typical daily exposures are usually well below these levels. Medical device wearers can experience interference from electric and magnetic fields and wearers must be aware of the limitations near particular equipment or devices. There is limited evidence for any effects associated with chronic exposure to electric and magnetic fields. For measurement of electric and magnetic fields in the ELF range, these two fields must be measured independently. A number of different meters are available to measure electric and magnetic fields, the choice of which depends on what field (electric vs. magnetic) and frequency range is being measured, the anticipated field level, and the sensitivity desired. Controls for reducing electric and magnetic fields include engineering and design controls, increasing distance from the source, and for electric fields, certain personal protective equipment meant to insulate from contact with charged metallic surfaces.
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 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 | 0.002 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".