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Record W3107153731 · doi:10.1098/rsbm.2020.0042

Henry Taube. 30 November 1915—16 November 2005

2020· article· en· W3107153731 on OpenAlexaboutno aff
Peter C. Ford, Thomas J. Meyer

Bibliographic record

VenueBiographical Memoirs of Fellows of the Royal Society · 2020
Typearticle
Languageen
FieldChemistry
TopicHistory and advancements in chemistry
Canadian institutionsnot available
Fundersnot available
KeywordsChemistBachelorChemistryLibrary scienceComputer sciencePolitical scienceLawOrganic chemistry

Abstract

fetched live from OpenAlex

Through a lifetime of increasingly broad and significant experiments and discoveries, Henry Taube became the world's premier mechanistic inorganic chemist (one who focuses on reaction pathways and reaction mechanisms produced during inorganic chemical changes). In his first faculty appointment, he examined the oxidation–reduction reaction and identified questions that could only be answered through precise experimentation. He then focused on the chemistry of transition metal complexes, laying out the details of what he called ‘inner sphere electron transfer’. He went on to compile a broad range of findings, leading to the elevation of inorganic chemistry to a major field of study. Taube earned bachelor's and master's degrees at the University of Saskatchewan and a PhD from UC Berkeley. After receiving his doctorate in 1941, he took a position as an instructor at Cornell University, where he remained until 1946. He then joined the faculty of the University of Chicago, where he carried out seminal investigations of the electron transfer reactions between metal ion complexes. In 1962 he moved to Stanford, where he continued studies of electron transfer mechanisms. He also twice served as chair (1972–74; 1978–79) of the Stanford Department of Chemistry and subsequently was appointed the Marguerite Blake Wilbur Professor in 1976. He formally retired from the faculty in 1986, but continued as an active scientist long afterward.

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 categoriesMeta-epidemiology (narrow), Insufficient 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: Empirical
Teacher disagreement score0.103
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.013
GPT teacher head0.227
Teacher spread0.214 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueBiographical Memoirs of Fellows of the Royal SocietySame topicHistory and advancements in chemistryFrench-language works237,207