Hidropesía no inmune, etiología, tratamiento y resultados
Bibliographic record
Abstract
La hidropesía fetal de tipo no inmune (HFNI) es una causa importante de morbimortalidad perinatal, presentándose con una mortalidad entre el 50 y el 100 %. El desarrollo y la puesta en práctica de las medidas preventivas para la enfermedad hemolítica perinatal ha conducido a un aumento relativo en la incidencia de la HFNI. La HFNI es un grupo heterogéneo de diferentes entidades. En algunos casosla fisiopatología de los desórdenes subyacentes que conducen al desarrollo de las hidropesías fetales está realmente clara. En muchos otros casos, sin embargo, el mecanismo patogénico no está del todo claro y la conexión entre NIFH y el subyacente es simplemente una asociación. Se ha realizado un estudio retrospectivo de todos los fetos con diagnóstico de hidropesía no inmune realizados en nuestrocentro y posterior revisión del tema. El período de estudio es de 6 años completos (desde enero de 1995 a diciembre de 2001)
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".