Communicating complexity: using a diagnostic classification system for edentulous patients.
Bibliographic record
Abstract
A significant number of edentulous patients with complex treatment needs are seen in private practice and faculties of dentistry. The American College of Prosthodontists has developed a classification system for complete edentulism that can be used to guide overall treatment planning and management of patients with complete dentures. The system focuses on specific diagnostic variables and uses a checklist format that can be applied rapidly and easily. Although there is currently little published data to indicate a direct relationship between classification and prognosis, the system can be applied by dental students and dental practitioners to determine the demographic characteristics of edentulous patients. For example, the system has been used by undergraduates in a dental school to determine the suitability of patients for treatment and to assign patients needing complex treatment to appropriate staff-student teams. Discussing the classification system with patients helps practitioners to communicate the complexity of treatment required and may aid in reconciling expectations with outcomes.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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".