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Record W2426911610 · doi:10.1358/dnp.2010.23.7.1458283

If children ruled the pharmaceutical industry: The need for pediatric formulations

2010· article· en· W2426911610 on OpenAlex
Michael Rieder

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

VenueDrug News & Perspectives · 2010
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsChildren's Hospital of Western Ontario
FundersCanadian Institutes of Health Research
KeywordsDisadvantagedPharmacotherapyIntensive care medicineDrugMedicineRisk analysis (engineering)BusinessPublic economicsEnvironmental healthPharmacologyEconomic growthPsychiatryEconomics

Abstract

fetched live from OpenAlex

Specific drug therapy has created paradigm changes in the cure and control of many common and important diseases. However, the benefits of specific therapy have not been shared equally, and children have been especially disadvantaged. In addition to many drugs lacking pediatric-specific information on drug safety and efficacy, there is often a lack of child-friendly formulations. Practical challenges include issues of stability and palatability, while other issues include variations in drug metabolism and excretion in different populations of children and policy issues related to the fact that the largest number of children live in the developing world. Innovations in drug formulations offer the potential for addressing the practical issues, while changes in public policy offer the potential for all the world's children to share more equally in the benefits of pharmacotherapy.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.036
GPT teacher head0.383
Teacher spread0.347 · 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