Bibliographic record
Abstract
Different types of cysts may appear in the maxillofacial region. The cysts in which their lining was originated from the remnants of tissues that were used to form the tooth, were labeled as odontogenic and later on were subdivided as inflammatory or developmental. The cysts in which their lining was not originated from the remnants of the tooth, were labeled as non-odontogenic. The odontogenic cyst is described as a hollow pathological cavity of the jawbone or the soft tissues which has an outer wall made of connective tissue and an inner wall made of epithelial cells. Inside the cavity, there are solids, liquids or even gas particles. In addition, the odontogenic cysts are characterized by very slow growth, expansion and without any clinical symptoms. In case of an unusual cyst with large size or related infection, various complications such as the expansion of the bone, asymmetry of the face, impaction of teeth, root resorption, movement or loosening of the teeth, occlusal disbalance and even obliteration of the maxillary sinus, nasal cavity and orbital cavity may develop. The most common odontogenic cysts are the radicular cysts, dentigerous cysts, residual cysts and odontogenic keratocyst (OKC). Those cysts have been reported by a variety of countries worldwide such as Spain, Brazil, Israel, Mexico, France, Canada, Italy, Greece, Thailand, Nigeria and Lithuania. One study which was conducted in Canada has shown the most common odontogenic cysts with 65.15% was the radicular cyst, followed by dentigerous cyst with 24.08% and lastly OKC with 4.88%.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".