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Record W2313552185 · doi:10.1149/1.2956051

Plasma Diagnostics in an Inductively Coupled Plasma - Gaseous Electronics Conference Reference Cell

2008· article· en· W2313552185 on OpenAlexaff
A. M. Daltrini, Stanislav A. Moshkalev, T.W. Morgan, Robert Piejak, W. G. Graham

Bibliographic record

VenueECS Transactions · 2008
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsQueen's University
Fundersnot available
KeywordsLangmuir probePlasmaPlasma diagnosticsInductively coupled plasmaAtomic physicsPlasma parametersElectromagnetic coilMaterials scienceElectron temperatureAnalytical Chemistry (journal)ChemistryPhysics

Abstract

fetched live from OpenAlex

An Inductively Coupled Plasma - Gaseous Electronics Conference reference cell was studied by different diagnostics: laser induced fluorescence, Langmuir probe, optical emission spectroscopy (Ar line ratios) and coil electrical measurements. Two modes of operation (high and low density plasma) were analyzed. A hysteresis in the transition between modes is identified only when the applied power is considered. When the plasma power is considered (coil losses are subtracted), the plasma parameters showed a smooth behavior between the two modes. The comparison of the plasma parameters obtained by different diagnostics showed a good agreement, revealing differences in the electron energy distribution function and the usefulness of Ar line ratio method.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.218
Teacher spread0.192 · 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.

Study designSimulation or modeling
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

Citations1
Published2008
Admission routes1
Has abstractyes

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