A cytogenetic survey of 14,069 newborn infants
Bibliographic record
Abstract
A study of the chromosomes of 14,069 consecutive liveborn infants revealed 11 infants with balanced reciprocal and 13 with balanced Robertsonian translocations. A detailed physical assessment revealed no increase in major or minor malformations over control infants except for an increase in frequency of upslanting palpebral fissures and some possible minor dermatoglyphic changes. A preliminary psychologic assessment of six heterozygotes and 11 controls at 6 years of age revealed no detectable differences. The results of detailed family studies revealed only one child with an unbalanced karyotype, suggesting that where families are ascertained at random through balanced translocation heterozygotes, the frequency of children with unbalanced karyotypes is low in both the t(DqDq) and reciprocal translocation families. Fetal wastage was shown to be slightly increased in reciprocal but not in Robertsonian translocation families. In both the reciprocal and Robertsonian translocation families the segregation ratio for the translocation was not significantly different from 1:1. A significant excess of males was found among reciprocal but not among Robertsonian translocation heterozygotes. A study of the chromosomes involved in 60 reciprocal translocations ascertained at random by conventional staining in the present and two other series suggested that chromosome 11 and perhaps 13 were involved significantly more frequently than might have been expected by chance. However, with the possible exception of band ll(ql3), no “hot” spots for chromosome breakage were observed in these series. Breaks were, however, found to occur significantly more frequently in pale fluorescent, light-staining than in bright fluorescent, dark-staining bands. The importance of these findings in genetic counselling is discussed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".