Sex dimorphism of the sacroiliac joint and its relation to joint mobility and function (919.14)
Bibliographic record
Abstract
The pelvic girdle is the functional connection between the spine and lower limbs, with the sacroiliac joint (SIJ) serving as the articular connection between the spine and hip bones. The SIJ provides load transfer between the axial and appendicular skeleton. It is specifically adapted to deal with these loads by both fibrous structures and morphological characteristics, which allow only limited movement. There is a sex dimorphism in the SIJ in terms of structure and function, with males having a rougher surface compared to females and a lower prevalence of pelvic girdle pain (PGP). There is also a discrepancy between the sexes pertaining to function, with females typically experiencing more issues relating to mobility. The purpose of this study is to compare SIJ articular morphology of males and females through validated measurement. 10 male and 7 female pelvises from embalmed cadavers were dissected and the SIJ opened. Digital calipers and the MicroScribe G2x tool were used to obtain surface area measurements of the joint articular surface and pelvic width dimensions. It was hypothesized that surface area will be greater in males than females, and the convexities/concavities will be more pronounced leading to a more stable joint. Dimensions will also vary between males and females affecting the overall shape of the SIJ. This would substantiate some of the differences in PGP and mobility of the joint between the sexes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.004 | 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".