Identifying Factors Which Contribute to the Magnitude of Excess Correlations between Magnetic Field-Paired Volumes of Water
Bibliographic record
Abstract
Excess correlations, one of the quantitative demonstrations of “entanglement”, have been experimentally demonstrated as spontaneous shifts in photon properties and molecular interactions. The magnitudes of the excess correlations have been enhanced experimentally for photon emissions and proton densities in aqueous solutions when the loci containing these physical chemical reactions shared circular magnetic fields whose angular velocities were always changing. In the present experiment, quantities of spring water each placed in one of two loci (local or non-local) separated by 100 or 10,000 m were exposed simultaneously to toroidal magnetic fields within a paradigm that has been shown to produce conspicuous excess correlations in shifts of photon emissions, pH in spring water, and human brain activity as inferred by electroencephalography. The non-local area that was not injected with proton donors displayed a reliable shift in pH when the local area was serially injected with small aliquots of protons but only during the presentations of the field parameters known to produce “entanglement”. The effect was most obvious when the global geomagnetic activity was less than Kp < 3. The probability is high that convergent similarities in the magnitudes of the local geomagnetic intensities of the two loci enhance the strength of the excess correlations. These results suggest that a minimal energy and inexpensive system, not involving classical electromagnetic transmission through a medium, but influenced by the global geomagnetic field activity, could be employed to generalize and superpose information between two non-local spaces.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".