Bibliographic record
Abstract
From May 12 to 15, 2012, the 10th world congress of the International Cartilage Repair Society (ICRS) was held in Montreal, Canada.This year, there were 850 participants with backgrounds in both basic scientific as well as clinical research directed at cartilage repair and regeneration.It encompassed more than 135 oral and 270 poster contributions; 7 plenary sessions and 20 special sessions were organized (three in parallel), each of which included two to three invited lectures by international leaders in the field, covering recent developments and opinions both in clinical as well as more basic scientific research on cartilage repair.This year's program also included two honorary lectures.Prof.Joseph Buckwalter, who was also awarded the Genzyme lifetime achievement award, gave the first lecture elucidating underlying causes of posttraumatic osteoarthritis (OA) including measurement of articular surface impact energy (which correlates to the occurrence of posttraumatic OA), incongruity of the joint, 1 and instability of the joint.Research includes restoring congruity using computed tomography scans and developing a model to see how pieces fit together and evaluation of how reactive oxygen species (ROS), produced by the mitochondria and expressed after impaction, cause damage in the first 48 hours (and matrix components over a longer period of time) and could be addressed with a number of promising therapies (biologicals, distraction, etc.).Prof. Daniel Grande gave the second honorary lecture, in honor of his seminal work in the field of cartilage repair.He spoke about the history and genealogy of the autologous chondrocyte implantation technology, as well as the evolution of histology grading scales and cartilage imaging.He concluded that the field is going toward in situ tissue engineering, and he acknowledged the impact of the ICRS on improved standardized protocols for research and clinical application.Both Prof.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.067 | 0.046 |
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".