Science AMA Series: I’m Dr. Dean Elterman, a urologic surgeon at the University Health Network in Toronto. My clinic and research focus are on men’s health, urinary health in both men and women, and prostate health. AMA!
Bibliographic record
Abstract
Hi Reddit! I’m Dr. Dean Elterman, a urologic surgeon at the University Health Network in Toronto. My focus on urology and its related diseases has led me to look more closely at how this field fits with overall male health. I’ve published research showing how the urologic community has a leading role to play in helping define the health issues that face men in the 21st century and improving their health outcomes and mortality rates. There are many factors such as ‘masculine identity’, social determinants and even the Y-chromosome itself that affect men’s health and longevity, and we’ve seen the evidence that up to 80 per cent of men refuse to see a physician until they are convinced by a spouse or partner to do so. The science and medical communities need to find ways to overcome these barriers so men can achieve good health, and one of those ways is through awareness and open discussion which is why I’m excited to host today’s AMA on what you need to know about your prostate health. Information about prostate health has changed a lot over the years. I’m happy to answer your questions about enlarged prostate, prostate cancer, the traditional and new treatments that exist for both, and when to consider having prostate health conversations with your healthcare practitioner. Note that I’m not able to provide medical advice online, but can point you in the direction of valuable online resources. I am live now and answering your questions– Ask me anything! AMA! Thanks very much for your thoughtful questions and for this important discussion. I am now done my AMA session - apologies if I didn’t get to answer your question and thank you for participating! To learn more about my research at the Krembil Research Institute and University of Toronto, [please click here] (https://uofturology.ca/directory/faculty/elterman-dean/). You can read other research I’ve worked on about how men’s health fits with urologic health here.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.246 | 0.096 |
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".