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Record W4409346934 · doi:10.4212/cjhp.3788

Canadian Hospital Pharmacy Residency Graduates / Diplômés de Programmes Canadiens de Résidence en Pharmacie Hôpitalière

2025· article· fr· W4409346934 on OpenAlexfundvenueaboutno aff

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2025
Typearticle
Languagefr
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
FundersHospital for Sick ChildrenKillam TrustsLondon Health Sciences Centre
KeywordsPharmacyPolitical scienceMedicineFamily medicineLibrary scienceHumanitiesArtComputer science

Abstract

fetched live from OpenAlex

The Editors of the Canadian Journal of Hospital Pharmacy would like to publicly acknowledge and congratulate the individuals listed below,* who graduated from accredited Canadian hospital pharmacy residency programs in 2024.This remarkable milestone not only signifies their dedication and hard work but also paves the way for numerous opportunities in their professional journey ahead.Graduates understand the profound impact of pharmacy research on our field.Much of this research has been spearheaded by previous graduates from Canadian hospital pharmacy residency programs.Their contributions have not only earned national and international recognition for Canadian hospital pharmacy programs but have also propelled the profession forward, solidifying its crucial role in Canadian health care both now and in the future.We encourage graduates to continue this tradition of excellence by getting involved with our journal.Consider submitting your own research and participating in the review process, as ways of contributing to the ongoing advancement of our profession.To cite / Comment citer cet article : Canadian hospital pharmacy residency graduates / Diplômés de programmes canadiens de résidence en pharmacie hôpitalière.

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)0.002
metaresearch head score (Gemma)0.010
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 score0.641
Threshold uncertainty score0.722

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0400.005

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 head0.051
GPT teacher head0.384
Teacher spread0.334 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

Explore more

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