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Record W4210258346 · doi:10.1093/ehjci/jeac024

Derek G. Gibson—a unique scientist and cardiologist, 1936–2021

2022· article· en· W4210258346 on OpenAlexaff
Michael Y. Henein, John V. Tyberg, Otto A. Smiseth

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsInternal medicinePhilosophyMedicineCardiologyCognitive sciencePsychology

Abstract

fetched live from OpenAlex

On 7th December 2021, the cardiology community lost an eminent cardiologist and the Grandfather of Echocardiography in the UK, Derek Gibson, at age of 85 years. Dr Derek Gibson felt passionate about a number of fine things. Perhaps foremost on that list was the harpsichord that had once been owned by the son of J.S. Bach, the ‘London Bach’. When asked to play something by J.S. Bach, he would comply enthusiastically and proudly. He once said about the Baroque Era of music, there was Old Bach—and then there was everybody else. One of the saddest markers of his decline was when he no longer played the instrument because he had become unable to tune it. He also had a passion for copper prints, for fine clocks, and for Coromandel screens; he had a personal list of vendors who would apprise him of special items when they appeared. Derek was born in Bath, the son of a pathologist who had an impressive home in The Royal Crescent. Although he was very young when it began, his understanding of World War II was profound. During the London blitz, he was of the generation of children that was sent out of London to the countryside for their safety. He went to Trinity College, Cambridge University, where he completed the Tripos examination for his bachelor’s degree. He was influenced by Sir Andrew Huxley, the Nobel Prize winner, and by the tradition of Sir Isaac Newton, who also went to Trinity. This led to a life-long focus on the physical work of the left ventricle (LV). Before LV volume measurements became feasible, he used the apexcardiogram as a surrogate for volume when plotted against pressure. He called the attention of the cardiology community to aberrations in the long axis of the LV. He was always sceptical, perhaps scornful, of measures of LV performance that lacked physical units (e.g. LV ‘contractility’). He spent his whole life in the UK, where he might have been perfectly described by W.S. Gilbert in HMS Pinafore: ‘In spite of all temptations to belong to other nations he remained an Englishman’. Derek had several trainees of whom he was very proud. In many cases, they were from overseas and had only limited means, in which case he would make an appropriation from ‘Dr Gibson’s Special Cardiac Fund’, perhaps for a proper suit. Most of Derek’s graduates started their career based on the scientific foundations received from him, having added their own as they developed their individual niches, and are all now professors and consultants in the UK and overseas. Derek had a special relationship with Egypt. Every year, his visit to Alexandria was advertised on the national media, and his clinic schedules were filled. Together with Professor Sir Magdi Yacoub, the famous Imperial College cardiac surgeon, he brought several talented young people to London to complete their training and to establish their careers. He also had other special relationships in the Middle East. His visits to the great historical sites of the Middle East were enviable, sites that he was privileged to view. While pages will never suffice to document the life, achievements, and unique personality features of a dear friend such as Derek, we leave the above brief in the hands of the readers of the European Heart Journal of Cardiovascular Imaging to contemplate this unique model of a scholar and clinician who dedicated his life to medicine and science. A few of us had the privilege of learning to know this fundamentally shy man; we shall miss him very much.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0230.018

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 head0.023
GPT teacher head0.276
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2022
Admission routes1
Has abstractno

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