Regulatory Bodies and Relevant Legislation
Bibliographic record
Abstract
Abstract This chapter explores the regulatory bodies and relevant legislation. It begins by looking at the Australian Therapeutic Goods Administration (TGA), which is a unit of the Australian Government’s Department of Health and Ageing. It is the body responsible for the registration and use of medicinal products and medical devices. The Therapeutic Goods Act 1989 (Cth) (‘TG Act’) defines medicinal products broadly to include goods that are represented in any way to be, or that are likely to be taken to be, for therapeutic use or for use as an ingredient or component in the manufacture of medicinal products or for use as a container for such goods. The chapter then considers the Food and Drug Act and the Patented Medicines (Notice of Compliance) Regulations (PMNOC Regulations) in Canada; the State Food and Drug Administration (SFDA) in China; the US Food and Drug Administration; and the Community Code in Europe. It also studies the regulatory bodies and relevant legislation in India, Japan, France, Germany, Italy, the Netherlands, and the United Kingdom.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.041 | 0.015 |
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".