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Record W4401383859 · doi:10.1200/jco.24.00709

Comments and Controversies in Oncology: The Tribulations of Trials Developing ONC201

2024· article· en· W4401383859 on OpenAlexaff
Jordan R. Hansford, Gauthier Bouche, Vijay Ramaswamy, Nada Jabado, Adriana Fonseca, Sam Moloney, Nicholas G. Gottardo, Giles Robinson, Amar Gajjar, Christopher L. Tinkle, Paul G. Fisher, Nicholas K. Foreman, David M. Ashley, David S. Ziegler, David D. Eisenstat, Maura Massimino, Olaf Witt, Ute Bartels, Stefan Rutkowski, Darren Hargrave, Maryam Fouladi, Stefan M. Pfister, Éric Bouffet

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsSickKids FoundationMcGill UniversityHospital for Sick ChildrenUniversity of Toronto
FundersNational Cancer Institute
KeywordsMedicineOncologyPharmacologyInternal medicineFamily medicine

Abstract

fetched live from OpenAlex

Our international team highlights issues with efficacy reports in several studies on DMG with the new drug ONC201.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.120
metaresearch head score (Gemma)0.423
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.120
Threshold uncertainty score0.636

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1200.423
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0020.003
Science and technology studies0.0040.009
Scholarly communication0.0090.014
Open science0.0090.005
Research integrity0.0570.059
Insufficient payload (model declined to judge)0.0100.007

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 head0.353
GPT teacher head0.575
Teacher spread0.222 · 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
GenreCommentary

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

Citations12
Published2024
Admission routes1
Has abstractyes

Explore more

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