La base de datos mundial de cirugía cardíaca pediátrica y congénita: una colaboración con el Registro Nacional de Cirugía Cardíaca Pediátrica (RENACCAPE)
Bibliographic record
Abstract
Objective: Following the notable work accomplished by the Mexican Association of Specialists in Congenital Heart Disease (Asociación Mexicana de Especialistas en Cardiopatías Congénitas) with the development of a national registry for congenital cardiac surgery, the World Society for Pediatric and Congenital Heart Surgery has implemented an international platform to collect data and analyze outcomes of children with congenital heart disease. Methodology: This manuscript proposes a possible collaboration between Mexico's national congenital cardiac database (Registro Nacional de Cirugía Cardíaca Pediátrica) and the World Database for Pediatric and Congenital Heart Surgery. Conclusion: Such a partnership would advance the countries' desire for the ongoing development of quality improvement processes and improve the overall treatment of children with congenital heart disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
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; both teacher heads agree on what is shown here.
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".