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Record W2344675275 · doi:10.14447/jnmes.v16i3.24

EDITORIAL - Joint Meeting 9th International Symposium on New Materials and Nano-Materials for Electrochemical Systems and XII International Congress of the Mexican Hydrogen Society

2013· editorial· en· W2344675275 on OpenAlexvenueaboutno aff
F.J. Rodríguez‐Varela, R. Huerta, V. Collins Martínez

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2013
Typeeditorial
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceFuel cellsSteering committeeGovernment (linguistics)Hydrogen productionPolitical scienceHydrogen fuelEngineeringChemistryHydrogenChemical engineeringEngineering managementComputer science

Abstract

fetched live from OpenAlex

The Joint Meeting 9th International Symposium on New Materials and Nano-Materials for Electrochemical Systems and XII International Congress of the Mexican Hydrogen Society, “Challenges in New Materials Development for Sustainable Energy and Transport”, was held in Merida, Yucatan, Mexico, on July 8-13, 2012. It served as a forum to disseminate the latest developments in relevant topics such as Advanced Batteries, Fuel Cells, Photoelectrochemical Cells, Hydrogen Production and Storage, among others. The Event was hosted by the Mexican Hydrogen Society (MHS). Founded in 1999, the MHS is nowadays the leading organization within Mexico bringing together Research Groups, Government Agencies and Industry partners to promote R&D related to hydrogen technologies. Plenary lectures were delivered by Prof. Nicolas Alonso-Vante from University of Poitiers (France), Prof. Perla B. Balbuena from Texas A&M University (USA), Prof. Bruce Parkinson from University of Wyoming (USA), Prof. Krishnan Rajeshwar from University of Texas At Arlington (USA), Prof. James J. Spivey from Louisiana State University (USA) and William Whittenberger from EcoLake Enterprises, LLC, Ohio, (USA). The Meeting included 62 oral presentations and 73 works at the poster sessions of delegates from Mexico, Canada, France, Argentina, Spain, Turkey, USA, China, Japan, Brazil, Venezuela, Portugal. This special issue of the Journal of New Materials for Electrochemical Systems includes selected papers presented at the Meeting, covering different important topics: Supercapacitors, Microbial Fuel Cells, Surface modification of polymer electrolytes, Capacitance studies, Materials for hydrogen evolution and hydrogen production, Dye-sensitized solar cells, Novel fuel cell membranes, Low Pt-content catalysts for PEMFCs anodes and cathodes, Autothermal Reforming of Ethanol, Steam Reforming of Biofuels, Anode electrocatalysts for DAFCs, We wish to thank the Consejo Nacional de Ciencia y Tecnología (National Council for Science and Technology of Mexico, CONACyT) for the financial support that made possible the 9th International Symposium on New Materials and Nano-Materials for Electrochemical Systems and XII International Congress of the Mexican Hydrogen Society. Also, we extend our gratitude to Prof. O. Savadogo, Editor-in-Chief of the Journal, for encouraging the publication of this Special Issue. Also, we thank all of the authors for their contributions and to the referees for their comments and suggestions. The 10th International Symposium on New Materials and Nano Materials for Electrochemical Systems will be held in Montreal in July 5-8, 2015 The XIV International Congress of the MHS will be held in Cancun, Mexico, in 2014. For more information, please visit the MHS´s official webpage: www.smh2.mx.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.082
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0820.039

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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations2
Published2013
Admission routes2
Has abstractyes

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