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Record W2752101403 · doi:10.1098/rsbm.2017.0019

Ernest Armstrong McCulloch. 21 April 1926—20 January 2011

2017· article· en· W2752101403 on OpenAlexafffundabout
Tak W. Mak

Bibliographic record

VenueBiographical Memoirs of Fellows of the Royal Society · 2017
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsUniversity of Toronto
FundersCampbell Family Institute for Breast Cancer ResearchCampbell Institute
KeywordsStem cellMedicineHaematopoiesisClassicsBiologyHistoryGenetics

Abstract

fetched live from OpenAlex

Abstract Ernest Armstrong McCulloch was half of the brilliant partnership that discovered haematopoietic stem cells (HSCs) and changed how we think about human tissue generation and regeneration. Based at the Ontario Cancer Institute (now the Princess Margaret Cancer Centre) in Toronto, the haematologist ‘Bun’ McCulloch, together with James E. Till, a physicist with a steel-trap mind, exercised their penchant for adventurous ‘big picture’ thinking in devising experiments to identify stem cells. This exceptional team was the first to demonstrate that HSCs have the dual capacity to self-renew and to differentiate into a vast array of mature haematopoietic cells. Their trainees, as well as investigators elsewhere, built on McCulloch and Till's findings not only to isolate and characterize HSCs and progenitors derived from them, but also to devise therapies for certain blood disorders. Later in his career, Ernest focused on characterizing the malignant cells of human leukaemias and determining the effects of various drugs on leukaemic cell growth. The implications of Till and McCulloch's work continue to be profound and underpin many significant breakthroughs in our knowledge of normal cellular physiology, pathophysiology, tumorigenesis and tissue transplantation. Indeed, regenerative medicine owes its very existence to the stem cell discoveries of McCulloch, Till and others. At times eccentric and demanding, but always well spoken, incisive and erudite, Ernest personified the outstanding research scientist cloaked in Canadian modesty. His legacy lives on in the bright therapeutic future emerging from the rigorous stem cell research being conducted in Canada and around the world.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.017
GPT teacher head0.259
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

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 designObservational
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
Published2017
Admission routes3
Has abstractyes

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