Electromagnetic Exposure Safety of the Carstens Articulograph AG100
Bibliographic record
Abstract
Extremely strong magnetic elds at the frequencies used in an electromagnetic articulometer (EMA) system may pose a risk to the health of a subject. To avoid such risks, the eld strengths produced by any EMA system should be measured, and compared to published permissible exposure standards. This letter reports measurements of the 2-50kHz magnetic eld strength of the Carstens Articulograph AG100. The measured eld strength (35T at a distance of 7.5cm) is permissible under standards in Austria, Germany, the USA, and the UK, but is not permissible in Canada or Massachusetts, or under the 1995 European Community Prestandard. M. Hasegawa-Johnson, Electromagnetic Exposure Safety. . . , submitted to JASA Page 3 I. Motivation Electromagnetic Midsagittal Articulography (EMA) is a technique for obtaining real-time data about the motion of points on the surface of the tongue and other articulators using relatively low-cost, lightweight, and non-invasive equipment (Schonle, 1987, Perkell, 1...
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".