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Record W2925533801 · doi:10.1111/pan.13638

Pediatric drug regulation: International perspectives

2019· article· en· W2925533801 on OpenAlexaff
Victor C. Baum, Ralph Bax, Dominique Heon, Zhimin Yang, Michiyo Sakiyama

Bibliographic record

VenuePediatric Anesthesia · 2019
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsHealth Canada
Fundersnot available
KeywordsMedicineIncentivePediatric researchDrugPublic relationsFamily medicinePharmacologyPediatricsPolitical science

Abstract

fetched live from OpenAlex

There was a time when the predominant approach to exposing children to new drugs was to protect children from research. This has evolved over the past several decades into protecting children through research. To encourage pediatric studies and approval of pediatric medicines, governments have provided financial incentives as well as obligations/requirements for pharmaceutical companies to carry out pediatric studies in certain circumstances. The unique considerations for children have been acknowledged by the various governments and drug regulatory agencies through international dialogue and cooperation among patient and patient care representatives, regulatory agencies, and academic, clinical and manufacturing stakeholders. We describe pediatric drug regulation in five of the largest international drug regulatory agencies and additionally discuss efforts at international cooperation and discussion in pediatric drug regulation.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.309
Teacher spread0.291 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations14
Published2019
Admission routes1
Has abstractyes

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