Study of Sexual Dimorphism in the Closure of Sagittal Suture – A Postmortem Study
Bibliographic record
Abstract
Background: Performing identity is a prime task in medicolegal and postmortem examinations. Age is the first parameter that has to be determined followed by sex. There are several techniques through which sex can be determined. As well there are different anatomical, physiological and pathological parameters determination of sex. Aim: To determine the sexual dimorphism in the cranial sagittal suture closure macroscopically. Methods: All the cases for this purpose had been selected from those brought for autopsy in the Department of Forensic Medicine and Toxicology, King Edward Medical University Lahore during the year 2016. Results: The statistical analysis revealed early closure in males than in females both ectocranially and endocranially with advancing age in the sagittal suture of cranial vault. The p value was found significant being less than 0.05 thereby establishing the fact that sexual dimorphism in the cranial sagittal suture exists. Conclusion: Conclusively the determination of sex is possible from the pattern of Cranial Sutures closure on autopsy table. Key words: Sex, Sagittal, Suture, Cranial
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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".