Some current legal issues that may affect oral and maxillofacial radiology: part 1. Basic principles in digital dental radiology.
Bibliographic record
Abstract
Developments in oral and maxillofacial radiology affect almost every aspect of dentistry: some change the legal framework in which Canadian dentists practise; some re-emphasize established standards of care, such as the dental radiologist's mantra, ALARA (using a dose that is as low as reasonably achievable) and viewing images in reduced ambient lighting. Developments in the legislation that regulates the use of radiology, such as Health Canada"s Safety Code 30 for radiation safety in dentistry and the Healing Arts Radiation Protection Act, also affect the practice of dental radiology. Some technical developments, such as charge-coupled devices and photostimulatable phosphors, are already well-known to the profession. Teleradiology, currently used in hospitals, but unfamiliar to most dentists (especially those working in urban communities), may soon have an impact on dentistry when it is used for Canada"s electronic health record, now under development. In this first of 2 articles about dental digital technology, we discuss the legal impact of developments in oral and maxillofacial radiology on dental practice and patient care.
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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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.016 | 0.009 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".