INCIDENCE, IMPORTANCE AND CO-OCCURRENCE OF CONGENITAL ANOMALIES IN INFANTS BORN PRETERM
Bibliographic record
Abstract
Congenital anomalies (CA) are relatively frequent and have been reported to be more frequent in infants born preterm ( Aims The first aim of this study is to assess the incidence of CA according to weeks of gestation. The second aim is to evaluate the correlation between the number and the severity of CA and gestational age. Methods This is a hospital-based study, which utilized neonatal data between 2001 and 2006 from a hospital in Montreal, Canada. Results Over this time period, 19 105 live births were recorded and the incidence of CA was 7.9%. A regression demonstrates an inverse relationship between CA (without CA vs with one or more CA) and gestational age (β = −0.109; F(1, 19103) = 228.48, p Conclusions Incidence, importance (major vs minor) and co-occurrence of congenital anomalies are inversely correlated with the gestational age including within the term range.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".