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Record W3111418227 · doi:10.1098/rsbm.2020.0019

Gordon Henry Dixon. 25 March 1930—24 July 2016

2020· article· en· W3111418227 on OpenAlexaboutno aff
Rafael Oliva, Stephen A. Krawetz, GHD Consortium

Bibliographic record

VenueBiographical Memoirs of Fellows of the Royal Society · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsnot available
Fundersnot available
KeywordsProtamineChromatinHistoneChemistryBiologyGeneticsGeneBiochemistry

Abstract

fetched live from OpenAlex

Gordon H. Dixon was a highly influential scientist who excelled in all the stages of his career and in each laboratory of every institution at which he was a member. Gordon began his graduate career at the University of Cambridge and completed his studies at the University of Toronto on the subject of transpeptidation reactions in biological systems. At an early stage of his career, he developed the technique of starch gel electrophoresis with Oliver Smithies and made important discoveries on the structure of human haptoglobins. Subsequently, Gordon contributed to the determination of the structure and active sites and mechanisms of action of trypsin and chymotrypsin and made seminal discoveries related to understanding the structure of the protein hormone insulin. However, he is best known for his later studies on the regulation of protamine genes and chromatin transitions in spermatogenesis. He is often considered to be the father of the protamine molecular biology underlying this gene system and his research is continually cited to this day. Gordon contributed to the identification and sequencing of the protamine genes, the discovery that methionine was required for initiation of protamine synthesis, understanding the roles of histone hyperacetylation and protamine phosphorylation, and the generation of the highly compact nucleoprotamine structure present in sperm, primarily using trout as a model system. Gordon is fondly remembered as a brilliant and very generous scientist by all his mentees, representing all levels from undergraduates to PhD and postdoctoral fellows, who provided a scientifically stimulating atmosphere in which they could develop their careers. From a more personal perspective, he also had a fun side and was devoted to his family. Gordon was a person who, owing to his legacy of great science and his fundamental humanity, still lives in the memory of many people.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.231
Teacher spread0.219 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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Same venueBiographical Memoirs of Fellows of the Royal SocietySame topicRNA modifications and cancerFrench-language works237,207