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Record W4412734669 · doi:10.5539/apr.v17n2p22

The Connection of Gravity, Dark Matter, and Supermassive Black Holes via a Set of Particles Associated With Gravity

2025· article· en· W4412734669 on OpenAlexvenueno aff
Nikiforos Ierokomos

Bibliographic record

VenueApplied Physics Research · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicExperimental and Theoretical Physics Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsSupermassive black holeDark matterAstrophysicsConnection (principal bundle)f(R) gravityQuantum gravityQuantum mechanicsGalaxyGeometryQuantum

Abstract

fetched live from OpenAlex

Gravity by far is the weakest force in the Universe and this weakness is not described by the Standard Model. Currently there is no known theory explaining why gravity is so weak or so different from other forces. This paper proposes a solution for this feebleness. In solving the gravity weakness problem, it was found that other unknowns in cosmology find possible answers. It is known that particles are found as groups or as families with special group behaviors. Additionally, not all families of particles interact by all the fundamental forces. For example, neutrals do not interact by the "charge force." This behavior presents the possibility that a special relationship may exist between a specific family of particles and a specific associated force for that family. Such a relationship is believed to have been found and presented in this work. This work finds the coupling constant of strength of a fundamental force and what is an associated family of states for that specific force. This finding has been tested and verified with the known families of particles and forces. This relationship is then used to determine and calculate the parameters of a proposed set of states associated with the force of gravity. The result of this association makes it clear why gravity is different and measured so weak. This hypothesis also provides an explanation why fundamental forces and particles are so related and predicts the possibility of a fifth force.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.022
GPT teacher head0.320
Teacher spread0.298 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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