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Record W4322761313 · doi:10.1016/j.ejca.2023.02.018

Management of patients with advanced prostate cancer—metastatic and/or castration-resistant prostate cancer: Report of the Advanced Prostate Cancer Consensus Conference (APCCC) 2022

2023· review· en· W4322761313 on OpenAlexaff
Silke Gillessen, Alberto Bossi, Ian D. Davis, Johann S. de Bono, Karim Fizazi, Nicholas D. James, Nicolas Mottet, Neal D. Shore, Eric J. Small, Matthew R. Smith, Christopher J. Sweeney, Bertrand Tombal, Emmanuel S. Antonarakis, Ana M. Aparicio, Andrew J. Armstrong, Gerhardt Attard, Tomasz M. Beer, Himisha Beltran, Anders Bjartell, Pierre Blanchard, Alberto Briganti, Robert G. Bristow, Muhammad Bulbul, Orazio Caffo, Daniel Castellano, Elena Castro, Heather H. Cheng, Kim N., Simon Chowdhury, Caroline S. Clarke, Noel W. Clarke, Gedske Daugaard, Maria De Santis, Ignacio Durán, Ross Eeles, Eleni Efstathiou, Jason A. Efstathiou, Onyeanunam Ngozi Ekeke, Christopher P. Evans, Stefano Fanti, Felix Y. Feng, Valérie Fonteyne, Nicola Fossati, Mark Frydenberg, Dan George, Martin Gleave, Gwénaëlle Gravis, Susan Halabi, Daniel Heinrich, Ken Herrmann, Celestia Higano, Michael S. Hofman, Lisa G. Horvath, Maha Hussain, Barbara Alicja Jereczek‐Fossa, Robert J. Jones, Ravindran Kanesvaran, Pirkko‐Liisa Kellokumpu‐Lehtinen, Raja B. Khauli, Laurence Klotz, Gero Kramer, Raja Leibowitz, Christopher Logothetis, Brandon A. Mahal, Fernando Cotait Maluf, Joaquı́n Mateo, David Matheson, Niven Mehra, Axel S. Merseburger, Amee Morgans, Michael J. Morris, Hind M’rabti, Deborah Mukherji, Declan G. Murphy, Vedang Murthy, Paul L. Nguyen, William Oh, Piet Ost, Joe M. O’Sullivan, Anwar R. Padhani, Carmel Pezaro, Darren M.C. Poon, Colin C. Pritchard, Danny Rabah, Dana E. Rathkopf, Robert E. Reiter, Mark A. Rubin, Charles J. Ryan, Fred Saad, Juan Pablo Sade, Oliver Sartor, Howard I. Scher, Nima Sharifi, Iwona Skoneczna, Howard R. Soule, Daniel E. Spratt, Sandy Srinivas, Cora N. Sternberg, Thomas Steuber, Hiroyoshi Suzuki, Matthew R. Sydes, Mary‐Ellen Taplin, Derya Tilki, Levent Türkeri, Fabio Turco, Hiroji Uemura, Hirotsugu Uemura, Yüksel Ürün, Claire L. Vale, Inge M. van Oort, Neha Vapiwala, Jochen Walz, Kosj Yamoah, Dingwei Ye, Evan Y. Yu, A. Zapatero, Thomas Zilli, Aurelius Omlin

Bibliographic record

VenueEuropean Journal of Cancer · 2023
Typereview
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of TorontoSunnybrook Health Science CentreCentre Hospitalier de l’Université de MontréalHealth Sciences CentreUniversity of British Columbia
FundersAstellas PharmaAdvanced Accelerator ApplicationsMedical Research CouncilSanofiMovember FoundationAstraZenecaChugai PharmaceuticalDaiichi-SankyoPfizerAmgen
KeywordsCancerMedicineProstate cancerProstateOncologyCastrationInternal medicineHormone

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.063
metaresearch head score (Gemma)0.083
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0630.083
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.061
GPT teacher head0.378
Teacher spread0.316 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations157
Published2023
Admission routes1
Has abstractyes

Explore more

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