Recovery Rates of Human Fetal Skeletal Remains Using Varying Mesh Sizes
Bibliographic record
Abstract
Human fetal skeletal elements of different gestational ages were screened with multiple mesh sizes (6.4 mm [1/4 inch], 3.2 mm [1/8 inch], 2.0 mm, and 1.0 mm) to determine their recovery rates. All remains were previously macerated, and no significantly damaged elements were used. The 6.4 mm mesh allowed a large loss of elements (63.2% overall), including diagnostic elements, while no diagnostic elements were lost when the 1 mm mesh (0.2%) was used. When using the 3.2 mm mesh, 16.2% of the bones were lost, including some diagnostic elements (primarily tooth crowns), while 7.5% were lost using the 2.0 mm mesh. The authors recommend that the potential loss of information incurred when utilizing larger mesh sizes be taken into consideration when planning recovery methods where fetal remains may be encountered and that a minimum of 1.0 mm mesh be utilized in recovery contexts known to include fetal remains.
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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 | 0.001 | 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 | 0.001 | 0.026 |
| 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".