Bibliographic record
Abstract
Introduction: To study whether breech presentation is a risk factor for cerebral palsy (CP).Patients and method: Perinatal data from 81 277 children born in breech, transversal, or vertex presentation in Moldova during 2009 to 2010 were retrieved from the National Statistical Data Moldova between July 1st, 2016 to September 30th, 2017.Data on 351 children with CP were identified.Logistic regression analyses were applied to calculate crude and adjusted odds ratios (OR) with 95% confidence intervals (CI) for CP among children born in breech, using children born in vertex presentation as a dependent variable.Results: Among 351 children with complete data diagnosed with CP (39% females), 26% had unilateral CP, 54% had bilateral CP, 13% had dyskinetic CP, and 5% had ataxic CP, while 2% were unclassified.Among children born in breech, the OR for CP was 3.6 (95% CI 2.3-5.3).The increased risk was marginally reduced when adjusted for plurality and preterm birth OR 3.2 (95% CI 2.1-5).However, among singletons born in breech by vaginal delivery at term, the OR for CP was 3.8 (95% CI 1.7-8.4).Severity or subtype of CP did not differ between breech and vertex presentation.Conclusion: Breech delivery is a significant risk factor for CP among children born in Moldova, in particular in singletons born by vaginal delivery at term. Poster presentation 2Risk factors of seizure recurrence after antiepileptic drug removal
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.606 | 0.380 |
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".