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Record W2769394395 · doi:10.1055/s-0036-1592031

Cluster Preface: C–O And Related Bond Activation

2017· article· en· W2769394395 on OpenAlexaffabout
Mamoru Tobisu, Naoto Chatani, Victor Snieckus

Bibliographic record

VenueSynlett · 2017
Typearticle
Languageen
FieldChemistry
TopicCatalytic Cross-Coupling Reactions
Canadian institutionsQueen's University
Fundersnot available
KeywordsLibrary scienceChemistryEngineeringManagementComputer science

Abstract

fetched live from OpenAlex

Mamoru Tobisu received his PhD from Osaka University under the direction of Prof. Shinji Murai (2001). During his PhD studies, he was a visiting scientist (1999) with Prof. Gregory C. Fu at MIT. Following a period as a scientist at the Takeda Pharmaceutical Company (2001–2005), he started his academic career at Osaka University in 2005 as an assistant professor with Prof. Naoto Chatani. He was then appointed as an associate professor at the Center for Atomic and Molecular Technologies at Osaka University (2011) and was promoted to full professor at the Department of Applied Chemistry of Osaka University (2017). He received the Thieme Chemistry Journals Award (2008), the Chemical Society of Japan Award for Young Chemists (2009), the Young Scientists’ Award, a Commendation for Science and Technology from the Minister of Education, Culture, Sports, Science and Technology (2012), the Merck-Banyu Lectureship Award (2012), Thomson Reuters Research Front Award (2016), and the Mukaiyama Award (2018). Naoto Chatani received his PhD in 1984 under Professors Noboru Sonoda and Shinji Murai. In 1984, he joined the Institute of Scientific and Industrial Research at Osaka University as an Assistant Professor in the laboratory of Professor Terukiyo Hanafusa. After postdoctoral studies (1988–1989 under Professor Scott E. Denmark at the University of Illinois, Urbana-Champaign), he moved back to Osaka University and was promoted to the rank of Associate Professor (1992) and to Full Professor (2003). He is a recipient of The Chemical Society of Japan Award for Young Chemists (1990), The Green & Sustainable Chemistry Award from the Minister of Education, Culture, Sports, Science and Technology (2005), the Nagoya Silver Medal (2013), The Chemical Society of Japan Award (2017), a Humboldt Research Award (2017), a Clarivate Analytics Highly Cited Researcher (2017) and will be a recipient of an Arthur C. Cope Scholar Award (2018). Victor Snieckus was born in Kaunas, Lithuania and spent his childhood in Germany during World War II. He received training at U. Alberta, Canada, (B.Sc.), U. California, Berkeley (M.Sc. D.S. Noyce), and U. Oregon (Ph.D. Virgil Boekelheide). He returned to his adopted country for postdoctoral studies (National Research Council, Ottawa, Ted Edwards). Appointments: U. of Waterloo, Assistant (1966) to Professor (1979); Monsanto/NRC Industrial Research Chair, 1992–1998; Queen’s University, Inaugural Bader Chair in Organic Chemistry (1998–2009); Bader Chair Emeritus and Director, Snieckus Innovations, 2009-. Selective awards: A.C. Cope Scholar (2001, one of 5 Canadians), Order of the Grand Duke Gediminas (2002, from the President of Lithuania), Arvedson-Schlenk (2003, Gesellschaft Deutscher Chemiker), Bernard Belleau (2005, Canadian Society for Chemistry), Givaudan-Karrer Medal (2008, U. Zurich), Honoris causa (2009, Technical U. Tallinn, Estonia), Global Lithuanian Award (2012), Yoshida Lectureship (2017). He hopes that he has only temporarily discontinued playing hockey and wishes also to return to the clarinet.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.086
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.012
GPT teacher head0.275
Teacher spread0.264 · 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 teacher head, 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

Citations2
Published2017
Admission routes2
Has abstractyes

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