Bibliographic record
Abstract
We would like to welcome you to the 20 th MR Angiography workshop. The International MRA Workshop, which was founded in 1989 by a team led by Prof. Jim Potchen, has established itself as the premier annual conference focusing on vascular MR research and clinical applications. The workshop has been held all around the world from the US, to Canada, to Asia, and to Europe and for the first time in its 19 years of existence will take place in Austria. As Local Organizing Team we are proud to host the 20 th Anniversary Meeting in Graz. The Medical University Graz and the Graz University of Technology are by tradition promoters of research initiatives in South Eastern European countries. With respect to the commitment to academic centres in the neighbouring countries we have the privilege to assign stipends for nine young scientists in the field of Magnetic Resonance Angiography. The 2008 Annual Conference will cover all major topics in the vascular application of Magnetic Resonance including new technical developments as well as clinical
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.271 | 0.191 |
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".