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Record W2089308487 · doi:10.1038/sj.clpt.6100068

Clinical Pharmacology Education: Looking into the Future

2007· review· en· W2089308487 on OpenAlex
Jean D. Gray, Deborah Danoff, Alexander M. M. Shepherd

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.

Bibliographic record

VenueClinical Pharmacology & Therapeutics · 2007
Typereview
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsRoyal College of Physicians and Surgeons of CanadaDalhousie University
FundersInternational Union of Basic and Clinical Pharmacology
KeywordsClinical pharmacologyAccreditationPharmacologyMedicineClinical PracticeEngineering ethicsMedical educationDrug developmentDrugFamily medicineEngineering

Abstract

fetched live from OpenAlex

The numbers of specialists who are practicing Clinical Pharmacology is declining. This raises questions about the nature of the discipline and the roles of those who practice Clinical Pharmacology. Numbers and qualifications of successful trainees in North American accredited Clinical Pharmacology training programs are presented. Questions are posed that require discussion by a forum of academic, regulatory, and industry-based scientists to enable Clinical Pharmacology training programs to meet the clinical care, drug development, and drug policy needs in Western countries in the next decade.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.805
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.009
Insufficient payload (model declined to judge)0.0020.001

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 head0.318
GPT teacher head0.623
Teacher spread0.305 · 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