The Aharanov-Bohm Phase Shift and Magnetic Vector Potential “A†Could Accommodate for Optical Coupler, Digital-to-Analogue Magnetic Field Excess Correlations of Photon Emissions Within Living Aqueous Systems
Bibliographic record
Abstract
Quantitative convergence for solutions involving electron drift velocity, the magnetic A vector and phase shifts reveal an increment of energy in the range of 10-20 J that could relate the Aharanov-Bohm phase modulation of the orbital frequency of a Bohr atom to the electrons Compton wavelength. The universal persistence of 10-12 W per m2 whose energy applied the square of the hydrogen wavelength solves for the energy equivalence of the rest mass of an electron could set the conditions for excess correlations between electronic systems that produce magnetic fields through optocouplers. Experimental evidence and quantitative solutions indicate variations of the Lorentz Lemma and circularly rotating magnetic fields whose phase and group velocities are uncoupled could create the conditions for excess correlations. Modification of Basharovs operator of resonance interaction for decoherence and entanglement in the radioactive decay of a diatomic system and Das and Misras estimates for the fractal charge of a photon strongly suggests that the efficacy for optocoupler circuits to generate non-local magnetic field effects in living and non-living aqueous systems originates from a single photon wave across the circuits p-n junctions. A review of the concepts and data indicate that excess correlations involving photons under optimal conditions are measureable within macrosystems
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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 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".