Scalar Field Therapy and Mitigation of Seizure Disorder: A Case Report
Bibliographic record
Abstract
This case report describes the use of scalar field therapy in the mitigation of seizures in an autistic child. The patient is a 4-yr-10-mo-old girl with a 3 year history of seizure disorder and autism. She presents with a long history of a series of 6 to 8 tonic-clonic seizures on a daily basis, each lasting approximately 10 to 20 seconds long. After a series of treatments in the scalar field, her seizures were reduced to 4 to 5 partial seizures of just 1 to 2 seconds in duration. The reduction in number and duration of seizures in this case suggests that the use of scalar field therapy in the treatment of seizure disorder should be further explored. Of great importance is the potential for controlling seizures while minimizing the use of pharmaceuticals that are often debilitating and have numerous negative side effects. doi: http://dx.doi.org/10.4021/jnr134w
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".