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Record W2061865614 · doi:10.1002/cjce.5450800407

Measuring Volumetric Phase Fractions in a Gas‐Solid‐Liquid Stirred Tank Reactor Using an Impedance Probe

2002· article· en· W2061865614 on OpenAlexvenueno aff
Elisabetta Brunazzi, Umberto Di Festa, Chiara Galletti, Cesare Merello, Alessandro Paglianti, Sandro Pintus

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2002
Typearticle
Languageen
FieldEngineering
TopicFault Detection and Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsElectrical impedanceCalibrationCapacitanceConductanceMaterials sciencePhase (matter)Analytical Chemistry (journal)Liquid phaseSystem of measurementThree-phaseMechanicsNuclear engineeringAcousticsThermodynamicsChemistryChromatographyElectrical engineeringElectrodeEngineeringPhysics

Abstract

fetched live from OpenAlex

Abstract A probe based on the measurement of the electrical impedance has been developed to determine the phase hold‐ups in gas‐solid‐liquid stirred tank reactors. The idea was to take advantage of the complex nature of electrical impedance to derive two independent data (conductance and capacitance) from one measurement. Particular attention has been paid to the calibration of the probe and two semi‐empirical equations have been given to relate measurement to hold‐ups. Subsequently, experiments were performed on three‐phase and two‐phase (gas‐liquid and solid‐liquid) systems and the results have been critically analysed.

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 score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.029
GPT teacher head0.225
Teacher spread0.197 · 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

Citations12
Published2002
Admission routes1
Has abstractyes

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