Bibliographic record
Abstract
Six embalmed cadaver heads were obtained, prepared and subsequently impacted to the medial maxilla with a 142-gram baseball traveling at 14 m/s. Measurements of strain were obtained through the use of strain gauge rosettes located at the medial palate and both canine fossae. Three dimensional finite element models of a dentate human maxilla were constructed for the purpose of investigating the mechanical response to a simulated blunt impact. Convergence testing revealed that a refined mesh with over 70,000 degrees of freedom was necessary to obtain sufficient accuracy within the analysis. The simulated load case involved a transient, dynamic impact to the medial maxilla with boundary conditions imposed at the buccal segments of the model analogous to the experimental case. Results were validated by a direct comparison to the displacements and principal strains gathered from experimental and epidemiological data. For the examined load case, displacements were highly localized at the anterior portion of the maxillary incisors. The comparison of experimental and calculated principal strains as a result of the simulated impacts revealed a 1.67 to 11.37% difference in magnitude.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".