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Record W3014557945 · doi:10.5539/apr.v12n2p33

Experimental Verification of Anomalous Forces on Shielded Symmetrical Capacitors

2020· article· en· W3014557945 on OpenAlexvenueno aff
Elio B. Porcelli, Omar R. Alves, Victo S. Filho

Bibliographic record

VenueApplied Physics Research · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Thermodynamics and Statistical Mechanics
Canadian institutionsnot available
Fundersnot available
KeywordsCapacitorShielded cableIon windDipoleInertiaWork (physics)Electromagnetic shieldingQuantum entanglementPhysicsMechanicsQuantumComputational physicsVoltageClassical mechanicsComputer scienceQuantum mechanicsTelecommunications

Abstract

fetched live from OpenAlex

In this work, we measured the magnitude of forces raised from the operation of symmetrical capacitor devices working in high electric potentials. Our experimental measurements were realized with basis on an improved setup which aimed significant reduction of ionic wind by means of an efficient shield. We observed small variations of the device inertia within an accurate range and we confirmed with good accuracy that the experimental results can be explained by a generalized quantum entanglement hypothesis which provides us a theoretical model for a macroscopic dipole force raised by the myriad of microscopic dipoles constituting the capacitor. The new results corroborated the positive results of previous experiments and also indicate the validity of our theoretical forecast.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.074
GPT teacher head0.354
Teacher spread0.280 · 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 designBench or experimental
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

Citations5
Published2020
Admission routes1
Has abstractyes

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