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Editorial Comment

2023· editorial· es· W4360600957 on OpenAlexaffabout
Zachary Klaassen, S. Ghamande, Christopher J.D. Wallis

Bibliographic record

VenueThe Journal of Urology · 2023
Typeeditorial
Languagees
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of TorontoUniversity Health NetworkMount Sinai Hospital
Fundersnot available
KeywordsMedicineProstate cancerSpecialtyMEDLINEFamily medicineGeneral surgeryCancerGynecologyLibrary scienceInternal medicine

Abstract

fetched live from OpenAlex

No AccessJournal of UrologyAdult Urology1 Jun 2023Editorial CommentThis article comments on the following:The Role of Physician Specialty in the Underutilization of Standard-of-Care Treatment Intensification in Patients With Metastatic Castration-sensitive Prostate Cancer Zachary Klaassen, Salil Ghamande, and Christopher J.D. Wallis Zachary KlaassenZachary 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 , Salil GhamandeSalil Ghamande Medical College of Georgia, Augusta, Georgia More articles by this author , and Christopher J.D. WallisChristopher J.D. Wallis Division of Urology, Department of Surgery, University of Toronto, Toronto, Ontario, Canada Division of Urology, Department of Surgery, Mount Sinai Hospital, Toronto, Ontario, Canada Division of Urology, Department of Surgery, University Health Network, Toronto, Ontario, Canada More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003370.03AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Editorial Comment." The Journal of Urology, 209(6), p. 1131 REFERENCES 1. . Real-world utilization of androgen deprivation therapy-intensification among older Canadian men with de novo metastatic prostate cancer. JNCI Cancer Spectr. 2021; 5(6):pkab082. Crossref, Medline, Google Scholar 2. . Treatment patterns and survival in metastatic castration-sensitive prostate cancer in the US Veterans Health Administration. Cancer Med. 2021; 10(23):8570-8580. Crossref, Medline, Google Scholar 3. . Treatment pattern and outcomes with systemic therapy in men with metastatic prostate cancer in the real-world patients in the United States. Cancers (Basel). 2021; 13(19):4951. Crossref, Medline, Google Scholar 4. . The role of physician specialty in the underutilization of standard-of-care treatment intensification in patients with metastatic castration-sensitive prostate cancer. J Urol. 2023; 209(6):1120-1131. Link, Google Scholar © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsRelated articlesJournal of Urology15 Feb 2023The Role of Physician Specialty in the Underutilization of Standard-of-Care Treatment Intensification in Patients With Metastatic Castration-sensitive Prostate Cancer Volume 209Issue 6June 2023Page: 1131-1131 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information 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 Salil Ghamande Medical College of Georgia, Augusta, Georgia More articles by this author Christopher J.D. Wallis Division of Urology, Department of Surgery, University of Toronto, Toronto, Ontario, Canada Division of Urology, Department of Surgery, Mount Sinai Hospital, Toronto, Ontario, Canada Division of Urology, Department of Surgery, University Health Network, Toronto, Ontario, Canada More articles by this author Expand All 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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.354
Threshold uncertainty score0.921

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.049
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0060.004
Open science0.0030.002
Research integrity0.0120.009
Insufficient payload (model declined to judge)0.3540.200

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.

Opus teacher head0.024
GPT teacher head0.350
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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