Temporomandibular joint articular disc: Providing a structural scaffold for use in tissue bioengineering of replacement constructs
Bibliographic record
Abstract
The temporomandibular joint's (TMJ) articular disc facilitates normal function in the healthy joint. Temporomandibular disorders (TMDs) are associated with disc derangement or damage resulting in joint dysfunction. TMD can progress to an end‐stage where surgical removal of condyle and disc are performed. No adequate prosthetic replacement exists for the disc. A dimensional model for the disc is yet to be provided. Our objective is to assess the dimensions of the articular disc providing a structural scaffold for tissue engineering of replacement constructs. Discs were dissected bilaterally from 12 cadavers (56–100yrs). Linear surface dimensions of the discs were measured using digital calipers to assess absolute and regional anteroposterior width (APW) and mediolateral length (MLL). Regional measurements were taken perpendicularly at relative ratios of the absolute dimensions (50% central; 20% from borders). All measurements (mm) were repeated twice by 2 observers to assess reliability. Mean absolute APW (15.31±1.08) and MLL (24.71±2.29) were calculated from 9 specimens along with mean values for 6 regional surface measurements and 9 regional depth measurements per disc. Within the limits of this study it is possible to provide reliable dimensions for use in creating a structural scaffold of the TMJ articular disc. Grant Funding Source : Departmental Funding
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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 | 0.001 |
| 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) | 0.003 | 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".