Reply by Authors
Bibliographic record
Abstract
No AccessJournal of UrologyReview Article1 Jun 2020Reply by Authors Hanan Goldberg, Ardalan E. Ahmad, Thenappan Chandrasekar, Laurence Klotz, Mark Emberton, Masoom A. Haider, Samir S. Taneja, Karan Arora, Neil Fleshner, Antonio Finelli, Nathan Perlis, Mark D. Tyson, Zachary Klaassen, and Christopher J. D. Wallis Hanan GoldbergHanan Goldberg *Correspondence: Division of Urology, Department of Surgical Oncology, Princess Margaret Cancer Centre, 610 University Ave., Toronto, Ontario M5G 2M9Canada ( E-mail Address: [email protected] Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada Urology Department, SUNY Upstate Medical University, Syracuse, New York , Ardalan E. AhmadArdalan E. Ahmad Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada , Thenappan ChandrasekarThenappan Chandrasekar Department of Urology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania , Laurence KlotzLaurence Klotz Division of Urology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada , Mark EmbertonMark Emberton Division of Surgery and Interventional Science, University College London, London, United Kingdom , Masoom A. HaiderMasoom A. Haider Department of Medical Imaging, Princess Margaret Cancer Center, Lunenfeld-Tanenbaum Research Institute, University of Toronto, Toronto, Ontario, Canada , Samir S. TanejaSamir S. Taneja Department of Urology and Radiology, NYU Langone Health, New York, New York , Karan AroraKaran Arora Department of Urology, Mayo Clinic, Phoenix, Arizona , Neil FleshnerNeil Fleshner Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada , Antonio FinelliAntonio Finelli Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada , Nathan PerlisNathan Perlis Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada , Mark D. TysonMark D. Tyson Department of Urology, Mayo Clinic, Phoenix, Arizona , Zachary KlaassenZachary Klaassen Division of Urology, Department of Surgery, Medical College of Georgia, Augusta University, Augusta, Georgia Georgia Cancer Center, Augusta, Georgia , and Christopher J. D. WallisChristopher J. D. Wallis Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada View All Author Informationhttps://doi.org/10.1097/JU.0000000000000595.02AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Reply by Authors." The Journal of Urology, 203(6), p. 1093 References 1. : Multi-parametric magnetic resonance imaging to rule-in and rule-out clinically important prostate cancer in men at risk: a cohort study. Urol Int 2011; 87: 49. Google Scholar 2. : Cost-effectiveness of MR imaging–guided strategies for detection of prostate cancer in biopsy-naive men. Radiology 2017; 285: 157. Google Scholar No direct or indirect commercial, personal, academic, political, religious or ethical incentive is associated with publishing this article. © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue 6June 2020Page: 1093-1093 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Hanan Goldberg Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada Urology Department, SUNY Upstate Medical University, Syracuse, New York *Correspondence: Division of Urology, Department of Surgical Oncology, Princess Margaret Cancer Centre, 610 University Ave., Toronto, Ontario M5G 2M9Canada ( E-mail Address: [email protected] Equal study contribution. More articles by this author Ardalan E. Ahmad Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada Equal study contribution. More articles by this author Thenappan Chandrasekar Department of Urology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania More articles by this author Laurence Klotz Division of Urology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada More articles by this author Mark Emberton Division of Surgery and Interventional Science, University College London, London, United Kingdom Supported by the United Kingdom National Institute for Health Research UCLH/UCL Biomedical Research Centre. More articles by this author Masoom A. Haider Department of Medical Imaging, Princess Margaret Cancer Center, Lunenfeld-Tanenbaum Research Institute, University of Toronto, Toronto, Ontario, Canada More articles by this author Samir S. Taneja Department of Urology and Radiology, NYU Langone Health, New York, New York More articles by this author Karan Arora Department of Urology, Mayo Clinic, Phoenix, Arizona More articles by this author Neil Fleshner Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada More articles by this author Antonio Finelli Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada More articles by this author Nathan Perlis Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada More articles by this author Mark D. Tyson Department of Urology, Mayo Clinic, Phoenix, Arizona More articles by this author Zachary Klaassen Division of Urology, Department of Surgery, Medical College of Georgia, Augusta University, Augusta, Georgia Georgia Cancer Center, Augusta, Georgia More articles by this author Christopher J. D. Wallis Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada More articles by this author Expand All No direct or indirect commercial, personal, academic, political, religious or ethical incentive is associated with publishing this article. Advertisement PDF downloadLoading ...
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 | 0.004 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.019 | 0.023 |
| Insufficient payload (model declined to judge) | 0.082 | 0.065 |
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".