Bibliographic record
Abstract
To reflect the multicultural nature of CUA members, the CUA has appropriately broadened its outlook and network of professional activities. The highly successful CUA-EAU exchange for academic urologists is into its third year. We are also embarking on a resident-exchange program with the Urological Society of Australia and New Zealand. In addition to providing training for residents sponsored by foreign governments, many of our fellowship programs have had the privilege of providing advanced training for dedicated young urology graduates from around the world – most of whom return home and become leaders in their clinical and/or research areas. Many CUA members are prominent on the world stage, with the AUA, SIU and other subspecialty societies. A prime example is Dr. Mostafa Elhilali, Past-President of CUA and former President of the SIU. He was recently awarded the SIU Felix Guyon Medal, the highest honour bestowed on an SIU member. The CUA now enjoys a special relationship with “the other CUA” – the Chinese Urological Association, with about 10 000 members. It is a growing organization keen on building relationships with professional organizations around the world. Representatives from the “two CUAs” established the Norman Bethune Urological Society (NBUS) (CUA signatories were me, Laurence Klotz and Jerzy Gajewski). These individuals, along with Sender Herschorn and Michael Leonard, had previously laid the groundwork for this liaison and exchange. The mission of the NBUS is to increase the level of scientific and clinical exchange and hopefully improve clinical and research training for Chinese residents. Ben Chew and Dirk Lange visited China last year. This year Anil Kapoor, Andrew MacNeily, Chris Nguan, Jerzy Gajewski and I went to China. We performed surgeries, delivered lectures, attended their Annual Meeting and officially met with the leaders of the Chinese association to chart future activities and plans for the NBUS and for the broader membership of both CUAs.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.696 | 0.613 |
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".