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
Biomaterials have been utilized in healthcare applications a number of times. Nowadays, subsequent evolution and the increase in the life expectancy of world’s population have made biomaterials more attractive and versatile, and have increased their utility. Concerning the manufacturing of medical devices and pharmacy, the development of new biomaterials, new manufacturing methods and techniques has always been the researchers’ focus. Recently, nanotechnology and nanomedicine have attracted a great deal of attention, which would further enhance the use of biomaterials in medical devices and pharmacy. In the development of medical devices and pharmacy, the selection of the proper material to be used is of utmost importance. This chapter aims to provide a review of the most used biomaterials. After an explanation of what biomaterials are and what defines them, a more in-depth approach to the major types of biomaterials is presented, such as metal, polymer, ceramic, and composites; also, the advantages and disadvantages of biomaterials, their main characteristics, and preferred applications in the area of medical devices and pharmacy are discussed.<br>
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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