The Distribution of Gastroschisis in Manitoba
Bibliographic record
Abstract
Introduction: There is a reported increase in prevalence of gastroschisis worldwide. In addition, there are a significant number of hot spots identified in the current literature. The etiology for this increase is largely unknown at this time. It is postulated that one of these notable hot spots is in Northern Manitoba where the prevalence of gastroschisis is higher when compared to the rest of the province and country. Methods: We conducted a retrospective cohort study and identified cases of gastroschisis through provincial databases and medical records. They were referenced with postal codes and birth rates according to region. Results: The results demonstrate a 2 to 3 fold increase in prevalence of gastroschisis in the Northern regions of Manitoba when compared to rates in Southern Manitoba. Conclusion: We successfully identified hot spots in Manitoba that have an increased prevalence of gastroschisis. A variety of risk factors have been identified as etiologies for gastrocschisis. Future research efforts will include further investigations in the population of Northern Manitoba and analysis of specific maternal and geographic considerations that could explain the increase in prevalence.
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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 | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".