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Record W4416391725 · doi:10.1016/j.annonc.2025.09.105

LBA89 A randomized phase II study of 177Lu-PSMA-617 vs docetaxel in patients with metastatic castration-resistant prostate cancer (mCRPC) and PSMA-positive disease: Canadian Cancer Trials Group (CCTG) study PR.21

2025· article· en· W4416391725 on OpenAlexaffabout
K.N. Chi, Fred Saad, Kejia Ding, Grzegorz Bauman, U. Emmenegger, Sebastién J. Hotte, Frédéric Pouliot, J. Lee, Jean‐Mathieu Beauregard, Luigi Nappi, C. Kollmannsberger, Z. Hamilou, Gad Abikhzer, M. Pavic, S M North, Di Jiang, Steven Yip, Conor Dellar, Wendy R. Parulekar, François Bénard

Bibliographic record

VenueAnnals of Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsQueen's UniversityOccupational Cancer Research CentrePrincess Margaret Cancer CentreUniversity of AlbertaSunnybrook Health Science CentreJewish General HospitalCentre Hospitalier Universitaire de SherbrookeUniversity of British ColumbiaCentre Hospitalier de l’Université de MontréalUniversité LavalUniversity of British Columbia HospitalJuravinski Cancer CentreWestern UniversityLondon Health Sciences CentreBC Cancer Agency
Fundersnot available
KeywordsDocetaxelProstate cancerRandomized controlled trialClinical trialPhases of clinical research

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0110.003

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 head0.075
GPT teacher head0.450
Teacher spread0.375 · 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 designRandomized trial
Domainnot available
GenreEmpirical

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

Citations5
Published2025
Admission routes2
Has abstractno

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