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Record W4379114671 · doi:10.1016/s1470-2045(23)00242-5

Zanidatamab for HER2-amplified, unresectable, locally advanced or metastatic biliary tract cancer (HERIZON-BTC-01): a multicentre, single-arm, phase 2b study

2023· article· en· W4379114671 on OpenAlexaff
James J. Harding, Jia Fan, Do‐Youn Oh, Hye Jin Choi, Jin Won Kim, Heung-Moon Chang, Lequn Bao, Hui‐Chuan Sun, Teresa Macarulla, Feng Xie, Jean‐Philippe Metges, Jieer Ying, John Bridgewater, Myung Ah Lee, Mohamedtaki Abdulaziz Tejani, Emerson Y. Chen, Dong Uk Kim, Harpreet Wasan, Michel Ducreux, Yuanyuan Bao, Lisa Boyken, Jiafang Ma, Phillip M. Garfin, Shubham Pant, Ghassan K. Abou‐Alfa, J. Adeva Alfonso, Massimo Aglietta, Ari David Baron, Muhammad Shaalan Beg, Paula Carrasco Aguirre, Eric X. Chen, Ying Cheng, Antonio Cubillo Gracián, Laëtitia Dahan, Filippo de Braud, Elisabetta Fenocchio, Olumide Gbolohon, Roopinder Gillmore, Marine Jary, Milind Javle, Yixing Jiang, Jung Hun Kang, Gentry George King, Madappa N. Kundranda, Laura Layos, Daneng Li, Tingbo Liang, Sara Lonardi, Omkar Marathe, Sebastián Mondaca, Andrés J. Muñoz Martín, Joon Oh Park, Roberto Pazo-Cid, Paula Ribera Fernandez, Lorenza Rimassa, Rosa Alonso, Saeed Sadeghi, Aaron J. Scott, Benjamin Tan, David Tougeron, Qiang Yan, Xiaoyu Yin, Haitao Zhao

Bibliographic record

VenueThe Lancet Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicCholangiocarcinoma and Gallbladder Cancer Studies
Canadian institutionsZymeworks (Canada)
Fundersnot available
KeywordsMedicineInternal medicineCohortTolerabilityBiliary tract cancerClinical endpointOncologyCancerResponse Evaluation Criteria in Solid TumorsBiliary tractGastroenterologyImmunohistochemistryGemcitabinePhases of clinical researchClinical trialAdverse effect

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.165
GPT teacher head0.435
Teacher spread0.270 · 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 designNon-randomized 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

Citations247
Published2023
Admission routes1
Has abstractno

Explore more

Same venueThe Lancet OncologySame topicCholangiocarcinoma and Gallbladder Cancer StudiesFrench-language works237,207