Bibliographic record
Abstract
Abstract XYY syndrome is a genetic condition in which males have 47 chromosomes instead of the usual 46 chromosomes. The karyotype is written as 47,XYY as these males have an extra Y chromosome. XYY occurs in approximately one in 1000 live male births and falls into the category of sex chromosome aneuploidy. Males with XYY often have tall stature but otherwise are not significantly different in physical appearance compared to other men. They are generally healthy; however, some XYY men can have learning disabilities or behaviour problems. It is possible that the information we know about XYY syndrome in the medical literature may be biased, as healthy, developmentally normal males do not often have a reason to have a karyotype performed. We may overestimate some of the problems associated with XYY such as learning disabilities and behaviour problems, as these are common reasons for children to have a karyotype. Key Concepts: Males with XYY syndrome have 47 chromosomes, which includes an extra Y chromosome. Males with XYY syndrome appear physically normal, however often have tall stature. Males with XYY syndrome generally have normal intelligence, however some may have learning disabilities or behaviour issues. Males with XYY syndrome do not have criminal tendencies as suggested in the older literature.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.064 | 0.013 |
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".