MétaCan
Menu
Back to cohort
Record W4225625476 · doi:10.1039/d2ya00027j

Effect of doping TiO<sub>2</sub> with Mn for electrocatalytic oxidation in acid and alkaline electrolytes

2022· article· en· W4225625476 on OpenAlexafffund
Lauren Vallez, Santiago Jimenez-Villegas, Angel T. Garcia‐Esparza, Yue Jiang, Sangwook Park, Qianying Wu, Thomas Mark Gill, Dimosthenis Sokaras, Samira Siahrostami, Xiaolin Zheng

Bibliographic record

VenueEnergy Advances · 2022
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsUniversity of Calgary
FundersSLAC National Accelerator LaboratoryBasic Energy SciencesDivision of Electrical, Communications and Cyber SystemsUniversity of CalgarySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungU.S. Department of EnergyOffice of ScienceCanada First Research Excellence FundDivision of Emerging Frontiers in Research and InnovationNational Science Foundation
KeywordsElectrolyteDopingInorganic chemistryManganeseChemistryMaterials scienceElectrodeOrganic chemistryPhysical chemistryOptoelectronics

Abstract

fetched live from OpenAlex

Electrochemical oxidation of water and electrolyte ions to produce oxygen, hydrogen peroxide, and peroxysulfate in acid and alkaline electrolytes at the surface of manganese-doped titanium dioxide thin films.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.003
GPT teacher head0.208
Teacher spread0.205 · 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

Citations13
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueEnergy AdvancesSame topicElectrocatalysts for Energy ConversionFrench-language works237,207