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Record W2504788041 · doi:10.1149/2.f02072if

The Chalkboard: An Electroanalytical Approach for Investigating the Reaction Pathway of Molecules at Surfaces

2007· article· en· W2504788041 on OpenAlexaff
Gessie Brisard

Bibliographic record

VenueThe Electrochemical Society Interface · 2007
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsElectrochemistryKineticsChemical reactionChemical kineticsChemical energyMoleculeChemistryChemical thermodynamicsReaction mechanismChemical physicsElectric energyElectricityNanotechnologyElectrodeComputational chemistryThermodynamicsMaterials sciencePhysical chemistryOrganic chemistryPhysicsCatalysisNon-equilibrium thermodynamics

Abstract

fetched live from OpenAlex

The study of electrochemical reactions involves knowledge of various domains in chemistry and physics: thermodynamics, kinetics, electricity, transport phenomena, hydrodynamics, and so on. Therefore the fields of application of electrochemical processes are equally vast: production of electric energy from chemical reactions, production of chemical reaction from electric energy, determination of kinetics and reactions mechanisms, conception of electrical and electrochemical devices, etc.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.265
Teacher spread0.251 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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