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Record W1982336221 · doi:10.1021/ie000214p

High-Temperature Conductivity Measurements for Industrial Applications. 1. A New Cell

2000· article· en· W1982336221 on OpenAlexafffund
Morteza Baghalha, Vladimiros G. Papangelakis

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2000
Typearticle
Languageen
FieldChemical Engineering
TopicIonic liquids properties and applications
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsConductivityElectrodeMaterials scienceConductancePlatinumAnalytical Chemistry (journal)Electrical resistivity and conductivityConstant (computer programming)ChemistryChromatographyElectrical engineeringPhysical chemistry

Abstract

fetched live from OpenAlex

A novel conductivity cell, suitable for high-temperature industrial applications, was developed. The cell body was made of Pyrex glass, and the electrodes were made of pure platinum. It was mounted in a 2 L titanium pressure vessel. The effects of the platinization of the electrodes and the level of conductance on the cell constant were extensively studied. It was found that the cell with the platinized electrodes has a very stable cell constant at 19.97 ± 0.06 cm -1, for conductivity levels ranging from 1000 to 100 000 μS/cm. The change in the cell constant when the temperature changes from 25 to 250 °C is less than 0.1%. The cell is operable at the equilibrium vapor pressure from low to high acidities. To assess the overall performance of the new cell, the conductivities of 0.05 m H 2 SO 4 solutions at temperatures from 15 to 250 °C were measured. These measurements were in excellent agreement with literature values with a difference of less than 1%.

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)0.001
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.165
GPT teacher head0.323
Teacher spread0.159 · 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
Published2000
Admission routes2
Has abstractyes

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