Bibliographic record
Abstract
On December 20th of this year, we lost one of the greatest innovators in dental science. Although Dr. Per-Ingvar Branemark was not a dentist but an orthopedic surgeon, his contribution to dental implantology is never to be forgotten. As is well known, while performing orthopedic experiments on rabbit legs in 1952, Dr. Branemark serendipitously discovered that titanium fuses well with bone. What made it possible for him to grasp this new concept, which he later named was his thoroughness in considering every factor in his studies, which most researchers could have easily overlooked under the same circumstances. Nevertheless, Dr. Branemark's ongoing research on osseointegration was not well accepted at first because the mainstream of medical knowledge worked with the assumption that the human body is inhospitable to any kind of foreign material and that it often reacts with inflammation. Not surprisingly, the grant applications for his studies on bone-anchored implants were frequently rejected, which still did not stop him from pursuing his passion. At last, he succeeded in winning funding from the United States National Institutes of Health, and Branemark implants have served as the basis for the field of dental implantology ever since they first expanded the application of osseointegration to dentistry in the 1970s. At the Toronto Osseointegration Conference in 1982, the new technology of machined titanium implants was introduced to all dental communities. After that, more extensive application in clinical settings was possible. Even though Dr. Branemark was not a dentist, he still deserves the greatest respect from researchers in every biomedical field including dentistry, given his tremendous accomplishments of exploring the therapeutic effectiveness of implants and presenting the remarkable treatment modality to dental science. Titanium implants, which were the products of his impressive research performance, boosted by the discovery of osseointegration, have become widely used in dentistry, as well as in general and veterinary medicine. Although we must say farewell to you, Dr. Branemark, we know that you and your legacy will always stay with us.
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 | 0.004 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.012 | 0.029 |
| Insufficient payload (model declined to judge) | 0.048 | 0.037 |
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".