Design and characterization of a cervical phantom model for birth simulation training
Bibliographic record
Abstract
In the midwifery and obstetrics, accurate diagnosis of labour progression is critical to ensure maternal and fetal wellbeing. In light of this, simulation systems have been designed to train practitioners. However, existing simulators lack a dynamic cervix to simulate the varying compliance of cervical ripening. In this thesis, characteristics of ex vivo human cervical tissue were studied and a pneumatically controlled compliant cervix phantom was designed. Cervical tissue exhibited strain of 0.50 for an applied stress of 325 kPa. The phantom demonstrated 35% effacement, 1 cm dilation and was capable of becoming 22 times softer. At maximum vacuum pressure, strain of 0.23 was achieved for an externally applied stress of 419 kPa. At atmospheric pressure, strain of 0.50 was achieved for an applied stress of 117 kPa. Results yield a deeper understanding of cervix characteristics and establishes the groundwork for the design of a dynamic human birth simulation training system.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".