A long term evaluation of the curve of Spee stability following orthodontic leveling
Bibliographic record
Abstract
The objectives of this study were to establish whether there is an association between pretreatment facial morphology and initial magnitude of the curve of Spee and to determine whether vertical lacial morphology influences curve of Spee relapse.This retrospective cephalometric study consisted of analyzing the records of 44 Angle Class I and II subjects obtained from the archives of a University Graduate Orthodontic Clinic.To be included in the study subjects had to be treated non-extraction with full fixed edgewise appliances.Subjects required complete pre-treatment, post-treatment and minimum five years post-retention cephalometric and plaster model records.Patients were grouped according to vertical facial type based on five cephalometric measurements.Nine brachycephalic, 10 dolicocephalic and 25 mesocephalic facial types were identified using the defined parameters.Plaster study models corresponding to pre-treatment, post- treatment and a minimum of five years post-treatment were reproducibly photographed using a digital camera.Calibrated curve of Spee measurements were obtained for each Baker for their invaluable advice and direction o Dr. T. Hassard and Dr. M. Cheang for their expertise and guidance with the statistical analysis .My classmates,
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".