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Record W2040862120 · doi:10.1098/rsbm.1999.0081

Sir Alan Lloyd Hodgkin, O.M., K.B.E. 5 February 1914 — 20 December 1998

2000· article· en· W2040862120 on OpenAlexaff
Sir Andrew Huxley

Bibliographic record

VenueBiographical Memoirs of Fellows of the Royal Society · 2000
Typearticle
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsTrinity College
Fundersnot available
KeywordsPresidencyWorld War IINerve conductionClassicsMedicineHistoryPhysiologyOperations researchLawPolitical scienceSurgeryEngineering

Abstract

fetched live from OpenAlex

Alan Hodgkin was one of the leading experimental biologists of the middle years of the twentieth century. He achieved an almost complete understanding of excitation and conduction in nerve fibres at the level possible with the techniques available at that time, and for this he received a share in the Nobel Prize for Physiology or Medicine in 1963. This work paved the way for subsequent unravelling by others of the molecular mechanisms, which followed from improvements in electronic techniques and the growth of molecular genetics. He also made major contributions to other aspects of the physiology of nerves and muscles, and especially to the mechanism of vision. During World War II he worked first in highaltitude physiology but for most of the war he was a member of the team that developed short-wave airborne radar, a development that was crucial to many of the successes of the Royal Air Force. His career was completed by holding two of the most distinguished positions open to an academic scientist in Britain, the presidency of The Royal Society (1970-75) and the Mastership of Trinity College, Cambridge (1978-84). He died in December 1998 after a long series of illnesses.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.797

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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 designNot applicable
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

Citations5
Published2000
Admission routes1
Has abstractyes

Explore more

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