Impact of the Great East Japan Earthquake and Fukushima Nuclear Power Plant Accident on Assisted Reproductive Technology in Fukushima Prefecture: The Fukushima Health Management Survey
Bibliographic record
Abstract
BACKGROUND: The aim of the study was to evaluate the incidences and obstetric outcomes of women who conceived using assisted reproductive technology (ART) procedures in Fukushima Prefecture before and after the Great East Japan Earthquake and Fukushima nuclear power plant accident. METHODS: Information was collected and analyzed from 12,070 women who conceived with or without ART in Fukushima Prefecture during the 9 months before and after the disaster. RESULTS: fertilization-embryo transfer (IVF-ET), respectively. The proportion of women who conceived with IVF-ET decreased during the 2 months immediately after the disaster, but returned to pre-disaster levels 3 months after the disaster. In the case of women who conceived without IVF-ET, the incidences of preterm birth and low birth weight increased after the disaster. In contrast, women who conceived with IVF-ET did not differ significantly in obstetric outcomes before and after the disaster but had a higher incidence of cesarean section and low birth weight compared to those conceived without IVF-ET, regardless of the study period. CONCLUSION: The influence of the disaster on woman who conceived using ART procedures was minimal.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".