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Record W4236755746 · doi:10.5254/0035-9475-88.1.g2

Sudhin Datta: 2015 Charles Goodyear Medalist

2015· article· en· W4236755746 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRubber Chemistry and Technology · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicChemistry and Chemical Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyPhysics

Abstract

fetched live from OpenAlex

Dr. Sudhin Datta was born in 1951 to a family of chemists in Boston, MA. He began his education in India, earning an undergraduate degree in chemistry from the Indian Institute of Technology at Kanpur in 1974 as the valedictorian. He graduated with a Ph.D. in organometallic chemistry from Harvard University in 1978. After postdoctoral appointments at the University of Toronto and at the University of Chicago he joined the Research and Technology department of the Elastomers business of the Exxon Chemical Co. in Linden, NJ in 1981. During the intervening 33 years he has always been associated with the research and development of polyolefin elastomers at ExxonMobil Chemical Co., based since 1994 in Baytown, TX.Dr. Datta receives this recognition for his invention and development over a span of 15 years of propylene-predominant elastomers with meso propylene crystallinity. These elastomers are now among the most successful commercial polyolefins, owing to their outstanding ability to be processed via high-throughput plastics fabrication processes such as those used for nonwoven fabrics. The gains he realized in processability have enabled a much wider range of applications to benefit from the exceptional resilience and recovery exhibited by elastomeric materials.Dr. Datta has dedicated his career to developing the chemistry, physics and applications of polyolefin elastomers. He coauthored a book on “Polymeric Compatibilizers” (1996), 12 review chapters on aspects of elastomers, and he is the inventor of 108 granted US patents. His work on polyolefin elastomers has been honored in both 2011 and in 2014 by ExxonMobil Chemical Outstanding Patent recognition. In addition, he has been honored with the Century Award by ExxonMobil Chemical for having obtained more than 100 granted US patents. He has previously been awarded the Best Paper award in 2002, 2003 and 2006 by both the Rubber Division of ACS and the ANTEC of SPE. In addition he has numerous other research and technology awards from ExxonMobil Chemical. He has been a mentor to 10 young scientists around the world.

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.

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 score0.097
Threshold uncertainty score0.849

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)0.0010.000

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 head0.006
GPT teacher head0.204
Teacher spread0.197 · 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