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Record W4384521438 · doi:10.1002/pbc.30581

Children's Oncology Group's 2023 blueprint for research: Pharmacy

2023· article· en· W4384521438 on OpenAlexaff
Andrew Ostrenga, Jennifer Thackray, Ha‐Mill H. McLearan, Kevin M. Mulieri, Elizabeth K. Bisaccia, Olga Militano, L. Lee Dupuis, M. Brooke Bernhardt

Bibliographic record

VenuePediatric Blood & Cancer · 2023
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersNational Cancer InstituteNational Institutes of Health
KeywordsCogMedicineBlueprintPharmacyPharmacogenomicsHarmonizationClinical trialClinical pharmacyDrug developmentFamily medicineOncologyMedical educationPharmacologyInternal medicineDrug

Abstract

fetched live from OpenAlex

Children's Oncology Group (COG) pharmacists and pharmacy technicians from more than 200 COG-member institutions comprise the COG Pharmacy Discipline. Discipline members serve an essential role in the design and execution of COG clinical trials. Core activities include study drug management, study drug access, clinical trial operations, protocol harmonization, and direct patient care. Discipline members are also actively involved in continuing education, membership engagement, and research across other COG committees/domains. Future areas of committed growth for the discipline include pharmacogenomics, pharmacokinetics, pharmacoeconomics, pharmaceutics, and implementation science.

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)0.025
metaresearch head score (Gemma)0.040
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: Other · Consensus signal: none
Teacher disagreement score0.075
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0040.003
Scholarly communication0.0100.004
Open science0.0030.007
Research integrity0.0230.016
Insufficient payload (model declined to judge)0.0750.056

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 head0.293
GPT teacher head0.534
Teacher spread0.241 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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