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Record W2151533824

Gestion des activités du programme d’accès spécial en établissement de santé : trois exemples

2004· article· fr· W2151533824 on OpenAlexaffabout
Jean‐François Bussières, Nathalie Francoeur

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsUniversité de MontréalCentre hospitalier universitaire de QuébecCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsPolitical scienceNoticeHumanitiesLibrary scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Resume Sante Canada doit autoriser l’importation de medicaments qui ne detiennent pas d’avis de conformite sur le marche canadien. Cette procedure requiert la collaboration des medecins, des pharmaciens et du personnel de soutien en pharmacie. L’objectif de cet article est de presenter les modalites de gestion de ce programme au sein de trois etablissements de sante quebecois. Abstract Health Canada must approve the importation of drugs that do not have a notice of compliance on the canadian market. This procedure requires the collaboration of physicians, pharmacists and nonprofessional pharmacy staff. The goal of this article is to describe the terms and conditions of this program in three Quebec health care facilities.

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)0.005
metaresearch head score (Gemma)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.906

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.004
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.113
GPT teacher head0.384
Teacher spread0.271 · 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
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

Citations0
Published2004
Admission routes2
Has abstractyes

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