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Record W2082762532 · doi:10.1159/000063773

Gordon Murray: Heparin, Hemodialysis and Hubris

2002· article· en· W2082762532 on OpenAlex
Susan K. Fellner, Mabel L. Purkerson

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAmerican Journal of Nephrology · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemodialysisSepsisDialysisSurgeryGeneral surgeryHeparinIntensive care medicine

Abstract

fetched live from OpenAlex

Gordon Murray (1894-1976), a brilliant and innovative surgeon who spent the majority of his professional career at the University of Toronto, Ont., Canada, is properly credited with having performed the first successful hemodialyses in humans in North America. Neither he nor Kolff, working in the Netherlands, were aware of each other's work during the middle 1940s when wartime hampered communication. Murray's extensive investigations and experience in the use of heparin in vascular surgery laid the groundwork for the use of this anticoagulant with the artificial kidney. He first designed a coil dialyzer in which cellophane tubing was wound about a steel frame. His second-generation apparatus was a plate dialyzer. In all, he performed dialysis on 11 patients with presumed acute renal failure, 50% of whom survived. Those who died succumbed to sepsis or irreversible chronic renal failure. Not much has changed in 50 years.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.553
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.025
GPT teacher head0.212
Teacher spread0.187 · 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