Gender Disparities in the Coronal Suture Closure of the Cranium – A tool for estimation of sex
Bibliographic record
Abstract
Background: Establishing the identification of a deceased at autopsy is one of the prime objective of medicolegal postmortem examination. The identification starts with determination of age and sex of the individual. The problem arise when completely decomposed dead body or just skeletal remains are brought for postmortem examination. Methods: The study was conducted on 90 dead bodies of equal proportion from both the genders in the year 2016 for a period of nine months. The cases were selected for study after careful scrutiny through a pre-trialed questionnaire with certain selection criteria. After proper exposure of the inner and outer surface of the cranial vault the degree of coronal suture closure was assessed in three segments as C1, C2 and C3 as observed through Acsádi‐Nemeskéri Scale. Results: A grossly significant observation of possibility of determination sex both from ectocranial and endocranial suture closure of the coronal suture with 0.001 p value was noted, therefore establish the fact that determination of sex from closure coronal suture is established. Keywords: Sex, Coronal, Suture, Closure
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".