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Record W149411334 · doi:10.1093/pch/11.3.148

Understanding clinical trials in childhood cancer

2006· article· en· W149411334 on OpenAlexaff
Mason Bond, Sheila Pritchard

Bibliographic record

VenuePaediatrics & Child Health · 2006
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsClinical trialMedicineChildhood cancerAlternative medicineFamily medicineCancerIntensive care medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

Clinical trials in paediatric cancer continue to be a key factor in progress toward better treatment and prognosis. Paediatricians and family physicians may be asked by patients and families for their advice regarding participation in such trials. The significant advances in the success of treatment of paediatric cancer have come, in part, from the high participation rate of patients in such studies. The present article reviews the definitions and goals of phase 1, 2 and 3 trials. A known and trusted physician or paediatrician can be helpful in conjunction with the oncologist in guiding patients and their families and helping them understand the risks and benefits of participation in clinical trials.

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)0.170
metaresearch head score (Gemma)0.298
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.170
Threshold uncertainty score0.898

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1700.298
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.005
Science and technology studies0.0050.044
Scholarly communication0.0220.040
Open science0.0030.010
Research integrity0.0190.033
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 head0.228
GPT teacher head0.455
Teacher spread0.227 · 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
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

Citations42
Published2006
Admission routes1
Has abstractyes

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