From the Division ofOrthopaedics, The Mount Sinai Hospital, University of Toronto, Toronto, and the Professional Unit,
Bibliographic record
Abstract
ABSTRACr: Allograft articular cartilage was transplanted between inbred strains of rats and between rabbits. Three forms of allograft were employed: isolated articu lar chondrocytes, shavings of articular cartilage, and intact articular surfaces. Im-munological assessment with the leukocyte migration technique for cell-mediated immunity and Cr5 ’ cytotoxicity for humoral antibody levels demonstrated that ar-ticular chondrocytes possess transplantation antigens and are immunogenic. Moreover, histological evaluation of grafts of shavings of articular cartilage showed round-cell infiltration into the lacunae. If the cartilage matrix was intact, as in intact articular surface grafts, sensitization of hosts did not occur. Sulphur-35 uptake studies revealed that these grafts remain viable even in presensitized recipients, sug-gesting that humoral antibodies cannot penetrate intact matrix to reach the chon-drocytes. Transplantation of allograft joints has been carried out clinically for many years. Al-though some of the results have been promising, many failures have been reported. The role of immunological rejection of these grafts has not yet been clarified. Articular carti-
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.193 | 0.034 |
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".