Gravitational and Experimental Electromagnetic Contributions to Cerebral Effects upon Deviations from Random Number Variations Generated by Electron Tunneling
Bibliographic record
Abstract
New theoretical and traditional quantitative solutions involving a pervasive unit quantum of ~10-20 J within biological and large-scale physical systems predicted that the mass of the human subject, subtle changes in gravitational phenomena, and the energy available within the cerebral volume should affect proximal random number variations produced by electron tunneling. In a series of experiments application of a specific, physiologically-patterned weak magnetic field over the right temporal lobe significantly enhanced the effects of intention upon deviations from random variations created by electron tunneling devices at a distance of 1 m. These variations were strongly (r~0.80) correlated with the coupling between the forces from the background free oscillations of the earth and the energy differences across the cell width between lunar perigee and apogee. The results support the approach that complex cognitive processes including “intention” can be described by physicochemical parameters and their magnitude of energies are within the range by which interactions or modulations from subtle gravitational forces applied across the cellular membrane and width might occur.
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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 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".