Bibliographic record
Abstract
The hemoglobinopathies encompass a heterogeneous group of disorders associated with mutations in both the alpha-globin and beta-globin genes. Increased immigration of high-risk populations has prompted the implementation of prenatal and newborn screening programs for hemoglobinopathies across Europe and North America. In Canada, the UK, and other European countries, prenatal screening to identify hemoglobinopathy carriers and offer prenatal diagnostic testing to couples at risk is linked to newborn screening, while in the United States, it is still not universally performed. The structure of screening programs, whether prenatal or postnatal, universal or selective, varies greatly among these countries and within the United States. The laboratory methods used to identify hemoglobinopathies are based on the prevalence of hemoglobinopathies within the population and the type of screening performed. Advances in molecular testing have facilitated the diagnosis of complex thalassemias and sickling disorders observed in ethnically diverse populations. This review summarizes the current approaches and methods used for carrier detection, prenatal diagnosis, and newborn screening.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".