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Record W4367051682 · doi:10.3329/cardio.v15i2.65636

The Great Pioneers of Coronary Artery Bypass Surgery: Is it Necessary to Ascertain Anybody the Fatherhood of CABG?

2023· article· en· W4367051682 on OpenAlexaboutno aff
Md Anisuzzaman, Nazmul Hosain, Md. Humayun Kabir

Bibliographic record

VenueCardiovascular Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac and Coronary Surgery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMammary arteryCoronary arteriesArteryRevascularizationCoronary artery bypass surgeryVeinMyocardial revascularizationFibrous jointCardiologyGreat saphenous veinInternal medicineAnastomosisSurgeryMyocardial infarction

Abstract

fetched live from OpenAlex

Coronary bypass operation is one of the greatest achievements of medical science in the 20th century. Alexis Carrel in 1910 and Arthur Vineberg in 1945 tried to perform surgical revascularization of the diseased coronary arteries. In the beginning of the 1950s many surgeons attempted experimentally to anastomose internal thoracic artery to the coronary arteries. Success was achieved simultaneously and independently by Vladimir Demikhov in Russia and Gordon Murray in Canada. Then the real success come of mammary-coronary bypass with tantalum ring by Robert H Goetz and with suture technique by Vasilii I Kolesov. Then autogenous great saphenous vein used by Rene G Favaloro and others and made the procedure popular worldwide. Which contribution is greater, when medicine depends on evolution and big accomplishment reached by means of the contribution of many. There comes the interesting question who should be given the credit of introducing this major surgical procedure, and along comes the ethical issue whether any single individual should be ascertained the fatherhood of CABG or any historic event at all! Cardiovasc j 2023; 15(2): 185-188

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)0.003
metaresearch head score (Gemma)0.009
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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.008
Scholarly communication0.0020.003
Open science0.0000.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.001

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 head0.266
Teacher spread0.241 · 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
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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