Can Regulation be as Innovative as Science and Technology? The FDA's Regulation of Combination Products
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The twentieth century witnessed significant and continuous advances in medical product innovation, with breakthroughs in pharmaceutical, engineering and bioscience fields that revolutionized health care services. However, with innovation comes potential risk. Congress has been concerned about risks associated with medical products since the early 1900s,1 and has, over time, empowered the U.S. Food and Drug Administration (FDA) to ensure that new medical products meet evolving standards of safety and effectiveness. The Food, Drug, and Cosmetic Act (FDCA) has been amended numerous times since the early 1900s, often in reaction to both perceived and real risks associated with new medical products.2 The result is a complex regulatory apparatus that administers a variety of legislative mandates specifically tailored to the unique features of drugs, medical devices and biologics. In recent years, scientific and technological advances in the fields of tissue engineering, cell biology, gene therapy and materials science, to name a few, promise breakthroughs that
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.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.012 |
| Science and technology studies | 0.001 | 0.024 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it