MétaCan
Menu
Back to cohort
Record W2895955202 · doi:10.1088/1361-6595/aae706

Numerical simulation of negative point-plane corona discharge mechanism in SF <sub>6</sub> gas

2018· article· en· W2895955202 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePlasma Sources Science and Technology · 2018
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsCorona dischargeCorona (planetary geology)Mechanism (biology)Plane (geometry)Point (geometry)Electric discharge in gasesMechanicsComputer simulationMaterials sciencePhysicsChemistryPhysical chemistryMathematicsGeometry

Abstract

fetched live from OpenAlex

Abstract This paper presents the results of the numerical simulation of negative corona discharge in SF 6 at 0.4 Mpa for a point-plane configuration. A 2D axisymmetric model considering three charged species has been investigated with an applied voltage equal to −25 kV. Three drift-diffusion equations coupled with Poisson’s equation were solved simultaneously to obtain the temporal and spatial properties of Trichel pulses. The distributions of charged species at different instants of time and the time-dependent total number of charged species have been determined. The characteristics of current pulses with voltages varying from −24 kV to −27 kV were compared and it has been found that the characteristics of the current magnitude and frequency are similar to those in air. The effects of the model coefficients—the ionization coefficient, the attachment coefficient, the mobility of charged species and the secondary emission coefficient—on the characteristics of current pulses have also been studied to investigate the sensitivities of the pulse parameters to these coefficients.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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