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Record W2117460748 · doi:10.1093/annonc/mdv257

Management of patients with advanced prostate cancer: recommendations of the St Gallen Advanced Prostate Cancer Consensus Conference (APCCC) 2015

2015· article· en· W2117460748 on OpenAlexaff
Silke Gillessen, Aurelius Omlin, Gerhardt Attard, Johann S. de Bono, Eleni Efstathiou, Karim Fizazi, Susan Halabi, Peter S. Nelson, Oliver Sartor, Matthew R. Smith, Howard R. Soule, Hideyuki Akaza, Tomasz M. Beer, Himisha Beltran, Arul M. Chinnaiyan, Gedske Daugaard, Ian D. Davis, Maria De Santis, Charles G. Drake, Rosalind A. Eeles, Stefano Fanti, Martin Gleave, Axel Heidenreich, Maha Hussain, Nicholas D. James, Frédéric Lecouvet, Christopher J. Logothetis, Ken Mastris, Sten Nilsson, William Oh, David Olmos, Anwar R. Padhani, Chris Parker, Mark A. Rubin, Jack A. Schalken, Howard I. Scher, Avishay Sella, Neal D. Shore, Eric J. Small, Cora N. Sternberg, Hidenori Suzuki, Christopher J. Sweeney, Ian F. Tannock, Bertrand Tombal

Bibliographic record

VenueAnnals of Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of British Columbia
FundersNational Cancer InstituteSwiss Cancer FoundationAstellas PharmaNational Institute for Health and Care ResearchTeva Pharmaceutical IndustriesProstate Cancer FoundationMovember FoundationAstraZenecaAmgenEuropean School of OncologySwiss Cancer Research FoundationSchweizerische Arbeitsgemeinschaft für Klinische KrebsforschungSanofiProstate Cancer UKCancer Research UK
KeywordsMedicineProstate cancerExpert opinionConsensus conferenceCancerManagement of prostate cancerGynecologyHormonal therapyIntensive care medicineOncologyDiseaseFamily medicineInternal medicineMedical physics

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.016
metaresearch head score (Gemma)0.032
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: Editorial · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.032
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0060.004
Research integrity0.0060.012
Insufficient payload (model declined to judge)0.0020.001

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 head0.101
GPT teacher head0.430
Teacher spread0.329 · 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
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

Citations321
Published2015
Admission routes1
Has abstractno

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