Bibliographic record
Abstract
With this issue, Dr. Charles Sultan serves as guest editor. He has compiled a number of experts on the topic of normal and abnormal sexual development. Our understanding of sexual development has made rapid progress with our accumulating knowledge of the human genome and molecular biology. Dr. Sultan received his medical training at the University of Montpellier, France, School of Medicine. After a chief residency in pediatrics, he served as a postdoctoral fellow for 2 years in the Department of Pediatric Endocrinology at Johns Hopkins Medical Center. He returned to France and received his Ph.D. in biochemistry from the School of Science at the University of Montpellier. Dr. Sultan was named a full professor of Developmental and Reproductive Medicine at the Montpellier School of Medicine. He has worked for the last 20 years in Montpellier to develop a Clinical Pediatric Endocrinology Unit at the University Hospital and, in parallel, an INSERM research group dedicated to the molecular genetics of the androgen receptor and disorders of sex differentiation. Dr. Sultan and his group have published over 150 articles in peer-reviewed journals and over 100 reviews and chapters in books. Other achievements of Dr. Sultan include an invitation to give the annual Laron Lecture (1995), service as president of the European Society of Pediatric Endocrinology (ESPE) (1996), and membership on the editorial boards of Molecular and Cellular Endocrinology, Hormones, Human Reproduction, the Journal of Endocrine Genetics, and Endocrinology (American Endocrinology Society). Dr. Sultan recently received the ESPE Research Award (Montreal, 2001).
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.064 | 0.058 |
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".