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Record W4285792204 · doi:10.1016/j.ejca.2022.06.008

Paediatric Strategy Forum for medicinal product development of multi-targeted kinase inhibitors in bone sarcomas

2022· review· en· W4285792204 on OpenAlexfundno aff
Andrew D.J. Pearson, Nathalie Gaspar, Katherine A. Janeway, Quentin Campbell‐Hewson, Elizabeth R. Lawlor, Chris Copland, Dominik Karres, Koen Norga, Fawzi Benzaghou, Susan Weiner, Brenda J. Weigel, Aaron R. Weiss, Sandra J. Strauss, Malcolm A. Smith, Bhuvana A. Setty, Nita L. Seibel, Nicole Scobie, Alberto S. Pappo, Chinyere E. Okpara, Karsten Nysom, Joe McDonough, Lynley V. Marshall, Donna Ludwinski, Franca Ligas, Giovanni Lesa, Steen Knudsen, John Kauh, Antony Hsieh, Delphine Heenen, Douglas S. Hawkins, Ann Graham, Edward G. Garmey, Steven G. DuBois, Elizabeth Fox, Martha Donoghue, Teresa de Rojas, John W. Chung, Michela Casanova, Bernadette Brennan, Michael W. Bishop, Victoria Buenger, Gregory H. Reaman, Gilles Vassal

Bibliographic record

VenueEuropean Journal of Cancer · 2022
Typereview
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsnot available
FundersEnergy Market Authority of SingaporeMyrovlytis TrustBristol-Myers SquibbChildhood Cancer CanadaAndrew McDonough B+ FoundationExelixisRocheIpsenOsteosarcoma InstituteBayerServierPfizer
KeywordsMedicineClinical trialSarcomaMedical physicsOncologyInternal medicinePathology

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Other designlow
models splitAgreement compares identical category sets and study designs across arms.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.087
GPT teacher head0.358
Teacher spread0.272 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Other design
Domainnot available
GenreReview

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

Citations23
Published2022
Admission routes1
Has abstractno

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