Neuralrohrdefekte in Österreich: Annahmen und Berechnungen zum Verhinderungspotenzial durch Folsäureanreicherung und-supplemente
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Countries with obligatory fortification of food (USA, Canada) document a significant decrease of neural tube defects in newborns. METHODS: In this study the Daly or, respectively, the Wald method was employed for calculating the potential of fortification/and supplementation for prevention in Austria. RESULTS: According to the EUROCAT study, in Austria the overall prevalence of neural tube defects (live birth, still births and induced abortions due to neural defect) is assumed to be 7.95 per 10,000 live and still births, and the prevalence of 3.9 per 10,000 live births - that is 62 or, respectively, 30 in absolute numbers per 78,000 births per year. In 2006, 26 live-born children with neural tube defects were actually reported in Austria by Statistik Austria. CONCLUSION: Different folic acid fortification and supplementation strategies can avoid 1.2-1.4 per 10,000 (9-11 cases) of neural tube defects (live and still births). Folic acid supplements are effective to decrease the amount of neural tube defects, however, only when pregnancies are planned. Thus, evidence-based neural tube defects are more common among lower social groups. An obligatory fortification of food could therefore reach unplanned pregnancies and women facing social problems. A reason to justify this population-based intervention where people need not decide for themselves could be the reduction of social imbalances. There are, of course, advantages and disadvantages of obligatory fortification of food and, therefore, all circumstances have to be taken into consideration.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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 it