Bibliographic record
Abstract
Manufacturers of medical devices are held to a higher standard than manufacturers of many other products due to the potential severity of the consequences of introducing inferior or unsafe products to the market-place. In Canada, the medical device industry is regulated by Health Canada under the Medical Device Regulations of the Food and Drug Act. The Medical Device Regulations define requirements of medical device design, development and manufacture to ensure that products reaching the public are safe and effective. Health Canada also requires that medical device manufacturers maintain distribution records to ensure that devices can be traced to the source and consumers can be contacted successfully in the event that a device is recalled. Medical devices exported from Canada must be compliant with the regulations of the country of import. The Canadian Medical Device Regulations were based on the Medical Device Directives of the European Union thus facilitating approval of Canadian devices for the European market. The United States Food and Drug Administration has separate and distinct requirements for safety and quality of medical devices. While effort has been made to facilitate approval and trade of Canadian medical devices in the United States and the European Union, obtaining approval from multiple regulatory bodies can result in increased device development time and cost. The Global Harmonization Task Force is an organization composed of members from Japanese, Australian, European, Canadian and American medical device regulatory bodies. This organization was formed with the objective of harmonizing medical device regulations in an effort to facilitate international trade and standardize the quality of medical devices available to all countries. This paper discusses the requirements that must be met by manufacturers when designing and manufacturing medical devices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.023 | 0.065 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.026 | 0.014 |
| Insufficient payload (model declined to judge) | 0.066 | 0.087 |
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".