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Record W2040120396 · doi:10.1002/cncr.22104

Proceedings of a workshop

2006· article· en· W2040120396 on OpenAlexaffabout
Archie Bleyer, Sue Morgan, Ronald D. Barr

Bibliographic record

VenueCancer · 2006
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineCancerClinical trialGerontologyYoung adultFamily medicinePediatricsDemographyPathologyInternal medicine

Abstract

fetched live from OpenAlex

The purpose of this workshop was to examine possible strategies for increasing participation by adolescent and young adult cancer patients in clinical trials. Three key established issues set the framework for this discussion: 1) In the United States, individuals in the 15-40 age group are less likely than either children or older adults to be referred to a comprehensive cancer center. 2) Enrollment in therapeutic clinical trials is unacceptably low among adolescent and young adult patients everywhere this has been studied, including United States, Canada, and United Kingdom. 3) Cancers that occur in patients in this age group with particular frequency (notably malignant lymphomas and bone tumors) have relatively long intervals from symptom onset to diagnosis (POG 9082). This may reflect both distinct biologic features of these diseases and a real gap in health care.

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)0.011
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.872
Threshold uncertainty score0.429

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0100.004
Open science0.0040.010
Research integrity0.0070.012
Insufficient payload (model declined to judge)0.1280.055

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 head0.074
GPT teacher head0.458
Teacher spread0.385 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations154
Published2006
Admission routes2
Has abstractyes

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