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Record W4213380307 · doi:10.1351/pac20138505iv

Preface

2013· article· en· W4213380307 on OpenAlexaboutno aff
Nicole Moreau

Bibliographic record

VenuePure and Applied Chemistry · 2013
Typearticle
Languageen
FieldChemistry
TopicRadioactive element chemistry and processing
Canadian institutionsnot available
Fundersnot available
KeywordsExcellenceChemical nomenclatureChemistryLibrary scienceChemistPolitical scienceLawOrganic chemistryComputer science

Abstract

fetched live from OpenAlex

IUPAC’s vision statement declares that the Union advances the worldwide role of chemistry for the benefit of Mankind. And one of its long-range goals states “IUPAC will utilize its global perspective and network to contribute to the enhancement of chemistry education, the career development of young chemical scientists, and the public appreciation of chemistry”. In pursuit of this spirit, the Union established in 2000 the IUPAC Prize for Young Chemists and has been honoring since then outstanding young research chemists at the beginning of their careers by making annual awards. The prizes are given for the most outstanding Ph.D. theses in the area of the chemical sciences, as described in 1000-word essays. As immediate Past President of IUPAC, I was honored to chair the prize selection committee of eminent chemists, who enjoyed reading essays of 41 applicants from 22 countries. After critical evaluation of the originality and excellence of the essays and research results, the committee decided unanimously to award 2012 Prizes for the following six essays: - “Study of the factors affecting the selectivity of catalytic ethylene oligomerization”, Khalid Albahily, University of Ottawa, Ottawa, Canada (following earlier studies at King Saud University, Saudi Arabia and Texas A&M University, College Station, TX, USA) - “Nanowire nanoelectronics: Building interfaces with tissue and cells at the natural scale of biology”, Tzahi Cohen-Karni, Harvard University, Cambridge, MA, USA (following earlier studies at Technion Israel Institute of Technology and Weizmann Institute of Science, Israel) - “Synthetic investigations featuring boron-rich and multidentate chalcoether-containing ligands”, Alexander Spokoyny, Northwestern University, Chicago, IL, USA (following earlier studies at University of California, Los Angeles, CA, USA) - “Quantification of virtual chemical properties: Strain, hyperconjugation, conjugation, and aromaticity”, Judy I-Chia Wu, University of Georgia, Athens, GA, USA (following earlier studies at Tung-Hai University, Taiwan) - “New materials for intermediate-temperature solid oxide fuel cells to be powered by carbon- and sulfur-containing fuels”, Lei Yang, Georgia Institute of Technology, Atlanta, GA, USA (following earlier studies at Beihang University and Tsinghua University, China) - “Transition metal catalysis: Activation of CO2, C–H, and C–O bonds en route to carboxylic acids, biaryls, and N-containing heterocycles”, Charles Yeung, University of Toronto, Toronto, Canada (following earlier studies at University of British Columbia, Vancouver, Canada) All the awardees were invited to present posters on their research at the 44th IUPAC World Chemistry Congress, Istanbul, Turkey, 11–16 August 2012. Upon IUPAC’s invitation, 4 of the 6 winners offered review papers on their research topics for consideration as publications in this issue of Pure and Applied Chemistry. Finally, it is an honor and a pleasure to congratulate each of the winners and their supervisors for winning the 2012 IUPAC Prize for Young Chemists. It is hoped that each of them will continue to contribute to a bright future for chemical sciences and technologies and to take active roles in IUPAC bodies in the future. Nicole Moreau IUPAC Immediate Past President and Chair of the IUPAC Prize Selection Committee

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)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.509
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.4910.372

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 head0.200
Teacher spread0.194 · 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.

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

Citations0
Published2013
Admission routes1
Has abstractyes

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