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Record W4399781202 · doi:10.4006/0836-1398-37.2.165

Antisymmetry and antimatter in the universe

2024· article· en· W4399781202 on OpenAlexvenueno aff
Emory Taylor, Rajan Iyer

Bibliographic record

VenuePhysics Essays · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum Mechanics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsAntimatterPhysicsUniversePhotonBohr modelAsymmetryQuantum mechanicsTheoretical physics

Abstract

fetched live from OpenAlex

Discontinuum physics (DCP) provides the non-arbitrary requirement for excluding the antimatter solutions to Dirac’s equation, resulting in a matter‐antimatter asymmetry. A matter‐antimatter asymmetrical universe then results from coupling the matter‐antimatter asymmetry with (1) the prior DCP proposal that the universe came into existence from a quantum fluctuation of a type of vacuum state with a zero net total energy, (2) allowing this quantum fluctuation to constitute a discontinuity containing the non-arbitrary requirement, with this occurring similar to how DCP showed the atomic absorption and emission process (AE-process) of Bohr’s atomic model constitutes a discontinuity, and (3) allowing this discontinuity to be conserved when the universe comes into existence, with this occurring similar to how DCP showed the AE-process discontinuity of Bohr’s atomic model is conserved as the emitted electromagnetic radiation (i.e., photon) discontinuity, where (a) a photon spends a large amount of time in the nonzero state during which it can interact with another photon in a collision, becoming a matter‐antimatter pair, and (b) a photon spends a tiny amount of time in the zero state during which it cannot interact with any particles and allowing it to be capable of spontaneously become a matter particle.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.006
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.255
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2024
Admission routes1
Has abstractyes

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