MétaCan
Menu
Back to cohort
Record W2108635596 · doi:10.1149/1.2795232

The Magnetohydrodynamic Effect In Electrochemical Systems Including Batteries

2007· article· en· W2108635596 on OpenAlexaff
Robert N. O'Brien

Bibliographic record

VenueECS Transactions · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Thermodynamics and Statistical Mechanics
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsElectrolyteElectrochemistrySodium chlorateElectrodeBattery (electricity)Magnetohydrodynamic driveSupercapacitorCurrent (fluid)Current densityMaterials scienceElectrochemical cellSodiumEnergy storageChemical engineeringChemistryInorganic chemistryElectrical engineeringMagnetohydrodynamicsPower (physics)ThermodynamicsEngineeringPhysicsMetallurgyMagnetic field

Abstract

fetched live from OpenAlex

At vertical electrodes separated by a liquid electrolyte in any electrochemical process such as charging or discharging batteries, charging or discharging supercapacitors containing electrolytes, or in any process to convert by electrochemical means one substance into another, such as sodium chloride to sodium chlorate, or a racemate into one only chiral compound, the speed of the reaction can be increased by increasing transport to the electrodes if the electrodes or current collectors are magnetized. The result at a vertical electrode is enhancement of the natural convection and an increase in the maximum current density, or the cell will produce more product in a given time period; in a battery, a greater allowable current draw, and a lower loss of in-put energy on recharging.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.249
Teacher spread0.245 · 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

Citations10
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueECS TransactionsSame topicAdvanced Thermodynamics and Statistical MechanicsFrench-language works237,207