Reply: Prospective Multicenter Evaluation of Pain Before and After Removal of Nonobstructing Renal Calculi: A CoRE Initiative
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Abstract
No AccessJournal of UrologyReply to Letters to the Editor25 Apr 2024Reply: Prospective Multicenter Evaluation of Pain Before and After Removal of Nonobstructing Renal Calculi: A CoRE Initiative Naeem Bhojani, Daniel Wollin, Marawan M. El Tayeb, Kymora B. Scotland, John Knoedler, Karen L. Stern, David-Dan Nguyen, Marcelino Rivera, Michael S. Borofsky, Noah Canvasser, Seth K. Bechis, and Ryan S. Hsi Naeem BhojaniNaeem Bhojani Corresponding Author: Naeem Bhojani, MD, University of Montreal Division of Urology, Centre Hospitalier de l'Université de Montréal, 900 St Denis R04.442, Montreal, Québec , H2X 0A0, Canada ([email protected]) https://orcid.org/0000-0003-2679-2635 , Daniel WollinDaniel Wollin , Marawan M. El TayebMarawan M. El Tayeb , Kymora B. ScotlandKymora B. Scotland , John KnoedlerJohn Knoedler , Karen L. SternKaren L. Stern , David-Dan NguyenDavid-Dan Nguyen , Marcelino RiveraMarcelino Rivera , Michael S. BorofskyMichael S. Borofsky , Noah CanvasserNoah Canvasser , Seth K. BechisSeth K. Bechis , and Ryan S. HsiRyan S. Hsi View All Author Informationhttps://doi.org/10.1097/JU.0000000000003956AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookLinked InTwitterEmail "Reply: Prospective Multicenter Evaluation of Pain Before and After Removal of Nonobstructing Renal Calculi: A CoRE Initiative." The Journal of Urology, Publish Ahead of Print, pp. REFERENCES 1. . Letter: prospective multicenter evaluation of pain before and after removal of nonobstructing renal calculi: a CoRE initiative. J Urol. 2024; 212(1):000-000. doi: 10.1097/JU.0000000000003948 Link, Google Scholar 2. . Prospective multicenter evaluation of pain before and after removal of nonobstructing renal calculi: a CoRE initiative. J Urol.2024; 211(3):436-444. doi: 10.1097/JU.0000000000003799 Link, Google Scholar Funding/Support: None. Conflict of Interest Disclosures: Dr Bhojani: Boston Scientific, Olympus; Dr Wollin: Boston Scientific, Aurie; Dr El Tayeb: Boston Scientific, Cook; Dr Scotland: Boston Scientific, Cook, Storz, Advanced MedTech, Ambu; Dr: Boston Scientific, Cook, Coloplast, Ambu, BD, SonoMotion; Dr Rivera: Boston Scientific, Cook; Dr Borofsky: Boston Scientific; Dr Canvasser: Boston Scientific; Dr Bechis: Boston Scientific, Cook, Dornier. Dr Knoedler: The other authors have nothing Stern to disclose. Ethics Statement: Institutional Review Board approval was obtained at each participating site before study recruitment was initiated. All patients provided written informed consent before participation. Author Contributions: Conception and design: Bhojani, Wollin, El Tayeb, Stern, Nguyen, Rivera, Borofsky, Bechis, Hsi Data analysis and interpretation: Bhojani, Wollin, El Tayeb, Borofsky, Canvasser, Bechis, Hsi Data acquisition: Bhojani, Wollin, El Tayeb, Stern, Rivera, Borofsky, Bechis, Hsi Drafting the manuscript: Bhojani, Wollin, El Tayeb, Stern, Borofsky, Bechis Critical revision of the manuscript for scientific and factual content: Bhojani, Wollin, El Tayeb, Stern, Nguyen, Rivera, Borofsky, Canvasser, Bechis, Hsi Statistical analysis: Supervision: Bhojani, Wollin, El Tayeb, Stern, Rivera, Borofsky, Canvasser, Bechis, His © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Naeem Bhojani Corresponding Author: Naeem Bhojani, MD, University of Montreal Division of Urology, Centre Hospitalier de l'Université de Montréal, 900 St Denis R04.442, Montreal, Québec , H2X 0A0, Canada ([email protected]) More articles by this author Daniel Wollin More articles by this author Marawan M. El Tayeb More articles by this author Kymora B. Scotland More articles by this author John Knoedler More articles by this author Karen L. Stern More articles by this author David-Dan Nguyen More articles by this author Marcelino Rivera More articles by this author Michael S. Borofsky More articles by this author Noah Canvasser More articles by this author Seth K. Bechis More articles by this author Ryan S. Hsi More articles by this author Expand All Funding/Support: None. Conflict of Interest Disclosures: Dr Bhojani: Boston Scientific, Olympus; Dr Wollin: Boston Scientific, Aurie; Dr El Tayeb: Boston Scientific, Cook; Dr Scotland: Boston Scientific, Cook, Storz, Advanced MedTech, Ambu; Dr: Boston Scientific, Cook, Coloplast, Ambu, BD, SonoMotion; Dr Rivera: Boston Scientific, Cook; Dr Borofsky: Boston Scientific; Dr Canvasser: Boston Scientific; Dr Bechis: Boston Scientific, Cook, Dornier. Dr Knoedler: The other authors have nothing Stern to disclose. Ethics Statement: Institutional Review Board approval was obtained at each participating site before study recruitment was initiated. All patients provided written informed consent before participation. Author Contributions: Conception and design: Bhojani, Wollin, El Tayeb, Stern, Nguyen, Rivera, Borofsky, Bechis, Hsi Data analysis and interpretation: Bhojani, Wollin, El Tayeb, Borofsky, Canvasser, Bechis, Hsi Data acquisition: Bhojani, Wollin, El Tayeb, Stern, Rivera, Borofsky, Bechis, Hsi Drafting the manuscript: Bhojani, Wollin, El Tayeb, Stern, Borofsky, Bechis Critical revision of the manuscript for scientific and factual content: Bhojani, Wollin, El Tayeb, Stern, Nguyen, Rivera, Borofsky, Canvasser, Bechis, Hsi Statistical analysis: Supervision: Bhojani, Wollin, El Tayeb, Stern, Rivera, Borofsky, Canvasser, Bechis, His Advertisement PDF downloadLoading ...
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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 | 0.010 | 0.074 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.024 | 0.019 |
| Insufficient payload (model declined to judge) | 0.012 | 0.010 |
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".