83 A Comparision of Repair of Coarctation End to End Anastomosis Versus Left Subclavian Flap
Bibliographic record
Abstract
There are two accepted methods of surgical repair of coarctation of the aorta, end to end anastomostis and left subclavian flap aortoplasty, neither of which has been proven superior to the other. In this study we look at 76 Newfoundland patients who have had either of these procedures between 1962 and 2001, and compare the recoarctation rates and residual hypertention rates for them. End to end anastomosis showed a recoarctation rate of 4.17% while left subclavian flap aortoplasty had a recoarctation rate of 7.69%, and no significant difference between the procedures was found. Due to the similar rates of recoarctation and hypertention, the procedures have the same outcome and should both be considered viable alternatives for correction of coarctation of the aorta.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".