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Record W3174706170 · doi:10.1016/j.ejca.2021.05.025

Preservation of quality of life in patients with human epidermal growth factor receptor 2–positive metastatic breast cancer treated with tucatinib or placebo when added to trastuzumab and capecitabine (HER2CLIMB trial)

2021· article· en· W3174706170 on OpenAlexaff
Volkmar Müller, Andrew Wardley, Elisavet Paplomata, Erika Hamilton, Amelia Zelnak, Louis Fehrenbacher, Erik Jakobsen, Elsa Curtit, Frances Boyle, Eva Brix, Andrew Brenner, Laurence Crouzet, Cristiano Ferrario, Montserrat Muñoz-Mateu, Hendrik-Tobias Arkenau, Nayyer Iqbal, Sramila Aithal, Margaret Block, Soeren Cold, Mathilde Cancel, Olwen Hahn, Teja Poosarla, Erica Stringer-Reasor, Marco Colleoni, David Cameron, Giuseppe Curigliano, Muriel Siadak, Kendra DeBusk, Jorge Ramos, Wentao Feng, Karen A. Gelmon

Bibliographic record

VenueEuropean Journal of Cancer · 2021
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsSaskatchewan Cancer AgencyBC Cancer AgencyJewish General Hospital
FundersDaiichi Sankyo EuropeEMD SeronoGenentechEuropean Society for Medical OncologyEisaiSeagenG1 TherapeuticsMacroGenicsSilverback TherapeuticsPfizerNuCanaRegeneron PharmaceuticalsMylanUnum TherapeuticsHelsinn TherapeuticsAmgenRadius HealthSyndax PharmaceuticalsClovis OncologyTeva Pharmaceutical IndustriesHelsinnLes Laboratories Pierre FabreTaiho PharmaceuticalEli Lilly and CompanyAstraZenecaFoundation MedicineNational Cancer Research InstituteGenomic HealthMersana TherapeuticsKaryopharm TherapeuticsPuma Biotechnology
KeywordsCapecitabineTrastuzumabMetastatic breast cancerOncologyMedicineHuman Epidermal Growth Factor Receptor 2Internal medicinePlaceboBreast cancerCancerPathologyColorectal cancer

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.344
Teacher spread0.294 · 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 teacher head, not a consensus.

Study designObservational
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

Citations13
Published2021
Admission routes1
Has abstractno

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