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Record W2070653328 · doi:10.1002/pbc.23114

Guideline for the classification of the acute emetogenic potential of antineoplastic medication in pediatric cancer patients

2011· review· en· W2070653328 on OpenAlex
L. Lee Dupuis, Sabrina Boodhan, Lillian Sung, Carol Portwine, Richard Hain, Patricia McCarthy, Mark T. Holdsworth

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePediatric Blood & Cancer · 2011
Typereview
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsChildren's Hospital of Eastern OntarioInstitute for Clinical Evaluative SciencesUniversity of TorontoSickKids FoundationHospital for Sick ChildrenMcMaster University
FundersNational Cancer InstituteHospital for Sick ChildrenPediatric Oncology Group of Ontario
KeywordsMedicineGuidelineBlood cancerCancerPediatric cancerIntensive care medicineOncologyInternal medicinePathology

Abstract

fetched live from OpenAlex

This guideline provides clinicians caring for children with an approach to assessing the acute emetogenic potential of antineoplastic therapies. It was developed by an international, inter-professional panel of clinicians and researchers using AGREE and CAN-ADAPTE methods. The emetogenicity of antineoplastic agents was evaluated and ranked as high, moderate, low, or minimal. The emetogenicity of multiple-agent and multiple-day antineoplastic therapy was also classified. Gaps in the evidence used to underpin the guideline recommendations were identified. The contribution of this guideline to the prevention of antineoplastic-induced nausea and vomiting in individual children about to receive antineoplastic therapy requires prospective evaluation.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.711
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.046
GPT teacher head0.349
Teacher spread0.303 · 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