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Record W2198781227 · doi:10.1098/rsbm.2015.0013

Frederick Sanger CBE CH OM. 13 August 1918 — 19 November 2013

2015· article· en· W2198781227 on OpenAlex
George G. Brownlee

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBiographical Memoirs of Fellows of the Royal Society · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsGeorge Brown College
Fundersnot available
KeywordsGenetic codeSanger sequencingNucleic acidSequence (biology)DNA sequencingComputational biologyDNABiologyGenetics

Abstract

fetched live from OpenAlex

Frederick Sanger—always known as Fred—was one of the most influential scientists of the twentieth century. A committed molecular biologist, he spent all his academic life in Cambridge devising methods for sequencing proteins and nucleic acids. He twice won the Nobel Prize in Chemistry—once in 1958 for protein sequencing and then again in 1980 for sequencing nucleic acids. He is the only scientist to have achieved this distinction. The impact of his work was enormous. He opened up the field of protein chemistry in the 1950s, stimulating studies of the sequence, structure and function of many proteins and enzymes. In 1977 he devised an ingenious DNA sequencing method that has revolutionized molecular biology and made it possible to completely sequence the 3 × 10 9 nucleotides of the human genome. Moreover, he confirmed the genetic code, showed that the genetic code differed in mitochondria, and discovered overlapping genes. Fred Sanger was a modest, reserved man but to his colleagues and friends he always had vision. He was a pioneer and a leader.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.019
GPT teacher head0.262
Teacher spread0.243 · 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