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Record W2786410464 · doi:10.1055/s-0037-1609319

Cluster Preface: Alkene Halofunctionalization

2018· article· en· W2786410464 on OpenAlexaboutno aff
Jeffrey N. Johnston, Tomislav Rovis

Bibliographic record

VenueSynlett · 2018
Typearticle
Languageen
FieldChemistry
TopicVanadium and Halogenation Chemistry
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryLibrary science

Abstract

fetched live from OpenAlex

Jeffrey N. Johnston is a 1992 graduate of Xavier University where he completed his B.S. Chemistry degree (Honors, summa cum laude). With summer research stints in medicinal, polymer, and inorganic pigment chemistry under his belt, he transitioned to synthetic organic chemistry at The Ohio State University where he worked with Leo Paquette for his graduate work (PhD 1997). He completed postdoctoral studies with ­David Evans at Harvard University (USA) and was supported by an NIH Postdoctoral Fellowship. His independent career began in 1999 at Indiana University, where he was promoted to Professor of Chemistry before moving to Vanderbilt University in 2006. He is currently a Stevenson Professor of Chemistry. The commitment of his students and postdoctoral scholars to the discovery and development of new reactions and reagents, particularly in enantioselective catalysis, have led to numerous honors, including the Cope Scholar Award, a Fellowship from the Japan Society for the Promotion of Science, a Swiss Chemical Society Lectureship, and an Eli Lilly Grantee Award. It was graduate student Mark Dobish's discovery of the chiral proton-catalyzed enantioselective iodolactonization reaction (J. Am Chem. Soc. 2012, 134, 6068) that began his group's exploits of alkene halofunctionalization reactions for the good of chemical synthesis. Tomislav Rovis was born in Zagreb in former Yugoslavia but was largely raised in southern Ontario, Canada. He earned his PhD degree at the University of Toronto (Canada) in 1998 under the direction of Professor Mark Lautens. From 1998–2000, he was an NSERC Postdoctoral Fellow at Harvard University (USA) with Professor David A. Evans. In 2000, he began his independent career at Colorado State University and was promoted in 2005 to Associate Professor and in 2008 to Professor. His group’s accomplishments have been recognized by a number of awards including an Arthur C. Cope Scholar, an NSF CAREER Award, a Fellow of the American Association for the Advancement of Science and a ­Katritzky Young Investigator in Heterocyclic Chemistry. In 2016, he moved to Columbia University where he is currently Professor of Chemistry.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.567
Threshold uncertainty score0.987

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)0.0140.001

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 head0.010
GPT teacher head0.233
Teacher spread0.223 · 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.

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
Published2018
Admission routes1
Has abstractyes

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