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Record W2950022771

Atlas of HRM Spectra (Volume 1)

2019· preprint· fr· W2950022771 on OpenAlexaboutno aff
Stoyan Sarg

Bibliographic record

VenueviXra · 2019
Typepreprint
Languagefr
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsnot available
Fundersnot available
KeywordsSpectral linePlasmaAtomic physicsPhysicsElectronIonResonance (particle physics)Transient (computer programming)Glow dischargeHeterodyne (poetry)Quantum mechanicsAcoustics
DOInot available

Abstract

fetched live from OpenAlex

The Heterodyne Resonance Mechanism (HRM) is predicted in the Basic Structures of Matter – Supergravitation Unified Theory (BSM-SG). The HRM effect takes place in a transient process of plasma. Neutral plasma in self-oscillation mode with optical signature of glow discharge emits spectrum in MHz range. The spectrum is different from the atomic and molecular spectra. According to the BSM-SG models, the spectrum is caused by synchronised spin-flip of the electrons involved in ion-electron pairs. Most of the recorded spectra are from hydrogen and air at partial vacuum from 10 to 15 mbars and air at normal pressure. They were recorded at different periods from 2005 to 2007 in a laboratory of York University, Toronto, Canada. The details of experimental setup are given in the article “Heterodyne Resonance Mechanism in a transient process in plasma. Experimental study and spectra” (vixra.org).

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.102
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0110.012
Science and technology studies0.0010.000
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1020.071

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 head0.008
GPT teacher head0.225
Teacher spread0.217 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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