The Utility of Canadian DAT Perceptual Ability and Carving Dexterity Scores as Predictors of Psychomotor Performance in First‐Year Operative Dentistry
Bibliographic record
Abstract
This study sought to determine if Canadian Dental Aptitude Test Perceptual Ability (PA) and Carving Dexterity (CD) scores have any practical utility as predictors of psychomotor performance. Simple linear regression and multiple regression analyses were performed and prediction intervals plotted. Efforts were made to expand the range of the predictor and dependent variables and to improve the accuracy and consistency and prevent contamination of the dependent variables. Results for both PA and CD varied markedly across years. Weak, but statistically extremely significant, correlations were observed for both PA and CD with specific technique grades and the year-overall pooled data. PA correlations loaded on exams at the start, and CD correlations loaded on exams at the end of the year. Manual average scores exhibited the strongest correlation with year-overall technique grades, but could explain no more than 7.2 percent of observed variance. Prediction intervals for year-end grades spanned at least 38 percentage grade points for both PA and CD. Within the context of the present study, PA and CD scores demonstrated no practical utility as predictors of psychomotor performance.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".