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Record W2599246420 · doi:10.11648/j.ijass.20170501.11

Coupling the Permeability and Permittivity of Space to the Electron Orbital Time: Potential Phase Shift Between Entanglement Latency and the Universe’s Final Epoch

2017· article· en· W2599246420 on OpenAlexaff
Michael A. Persinger

Bibliographic record

VenueInternational Journal of Astrophysics and Space Science · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace Science and Extraterrestrial Life
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPhysicsQuantum entanglementUniverseElectronObservable universeAstrophysicsComputational physicsQuantum mechanicsQuantum

Abstract

fetched live from OpenAlex

The strength of the magnetic field for different ratios of matter densities relative to the permittivity of a vacuum solves for values approaching the velocity of light. When the strength of the field associated with densities similar to liquid water, ice, or stars (such as the Sun) is considered with respect to the magnetic permeability and average mass density of the universe, the emergent velocity is ~10<sup>23</sup> m•s<sup>-1</sup>. This value has been derived from several approaches as the latency for excess correlation or “entanglement” and is consistent with a process that might explain the integrity of large-scale spatial structure over distances that are within fractions of the universe’s present diameter. The estimated latency to traverse this diameter with this velocity relative to the total duration of the universe (the final epoch) when considered as an Aharanov-Bohm type phase shift, results in an energy quantum that is convergent with Planck’s constant. One interpretation is that the duration of a single electron’s orbit is the phase shift between duration (latency) to traverse the universe and its total duration (final epoch). If this approach is valid then non-local effects and related excess correlations (Schrödinger’s “entanglement”) between photon emissions and specific dynamics of densities similar to liquid water may be a property of these conditions immersed within an average universal mass density of about one proton per cubic meter. It may also accommodate the challenges of understanding the apparent homogeneity across large scale space.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.298
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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