UMA ABORDAGEM ACERCA DAS DOENÇAS CONGÊNITAS E SUAS DEVIDAS REPERCUSSÕES
Bibliographic record
Abstract
Congenital infections are the main causes of permanent disability in children and have a major impact on morbidity and mortality and treatment costs. Among the main infections that can cause complications in pregnancy are: toxoplasmosis, rubella, cytomegalovirus, syphilis, zika virus, herpes, hepatitis, acquired immunodeficiency syndrome and parvovirus B19. These infections can cause morphological changes in fetal tissues or organs, thus, early identification and treatment can reduce maternal-fetal transmission and / or decrease the impact on the fetus. Thus, the aim of this study was to conduct na updated review of congenital infections, highlighting epidemiological, diagnostic and treatment aspects. This is a literature review, and for the construction of the text, the following databases were used: SciELO, pubmed, BVS and Google academic. Therefore, prevention, early diagnosis of congenital infections and other actions aimed at the adequate treatment of women and their children, with the integration of health programs and local surveillance systems, are extremely important for public health.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.011 |
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".