Banff 2003 Meeting Report: New Diagnostic Insights and Standards
Bibliographic record
Abstract
The Seventh Banff Conference on Allograft Pathology was held June 14-18, 2003 in Aberdeen, Scotland representing the latest iteration of the international consensus meeting, which develops worldwide standards for interpretation of allograft biopsies. The meeting is an important force behind standardized slide interpretation to strengthen endpoints in international clinical trials. Of participants polled 87% reported that they would alter clinical practice as a direct consequence of the meeting and its content. Advances were made in many areas including tubulitis mechanisms, real-time polymerase chain reaction (PCR) gene analysis and microarrays in rejection diagnosis, tolerance/accommodation/immunomodulation, the role of monocytes and macrophages in rejection and C4d as a marker for antibody-mediated rejection. A provisional scoring system for peritubular capillary inflammatory cell accumulation in antibody-mediated rejection was presented for testing, as well as plans for a nephrectomy study to determine specificity of vascular lesions of rejection. Future meetings are planned for 2005 (Edmonton), 2007 and 2009, with active ongoing Internet discussion between meetings.
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 | 0.092 | 0.108 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.011 | 0.006 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.010 | 0.007 |
| Research integrity | 0.018 | 0.011 |
| Insufficient payload (model declined to judge) | 0.026 | 0.041 |
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".