From preterm birth, placenta and thyroid to the perineum
Bibliographic record
Abstract
June this year features the 36th NFOG Congress in Reykjavik, Iceland.It promises to be an excellent event, with well over 700 participants registered.Just as Acta in its 87th year of existence, it is a sign of the vitality of obstetrics and gynecology in the Nordic countries that there has been a unifying congress 36 times during a period of 70 years.The peace and stability in the Nordic countries are reflected in this activity as well as in Acta, and fortunately there are many parts of the world where similar efforts are taking place.The medical community has also an international dimension that is truly remarkable.There is a number of European and worldwide venues that are well established, headed in our speciality by FIGO, with its next world congress in Capetown, South Africa in the fall of 2009.There is a great interest in international meetings among almost all obstetricians and gynecologists, with an ultimate benefit to our patients.Ramkumar Menon from Nashville, Tennessee, USA, working with an active research group in Aarhus University, Denmark, starts off in this issue with a thorough review on some major aspects related to the onset of preterm birth (pp.590Á 600).He emphasises the heterogeneity of preterm birth with respect to causative mechanisms, as well as calling attention to its varied clinical presentation and probable genetic susceptibility.Like so many other common syndromes preterm birth is not just one condition, but may have several clinical aspects leading to the same difficult situation: a woman in preterm delivery.The different pathophysiological causes of preterm birth include an adverse vaginal microenvironment, immunological factors in the cervical mucus, excessive sensitivity of the uterine smooth muscle or maternal illness.Sociodemographic factors and genes also influence the risk of preterm birth.So far we lack, however,comprehensive understanding of what brings about spontaneous preterm labour.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".