Perspective et enjeux pour la pratique en établissement de santé – partie 2
Bibliographic record
Abstract
Abstract Part II: Perspectives and challenges facing healthcare establishments Natural healthcare products have existed for a long time. In 2002–2003 the sales estimates in Canada of approximately 50,000 natural health care products approached $4.3 billion.¹ In comparison, the total sales in 2004 of all medication for human consumption in Canada was $15.9 billion. Today more than 240,000 products are included in the drug product database.³ Consequently, after January 2004, Canada adopted the Natural Health Products Regulations, falling under the Food and Drugs Act. The purpose of this report, a two-part series, is to provide a perspective on the role of natural health products in Canada and to identify potential challenges for the hospital pharmacist. The first part will provide a review of regulations governing natural healthcare products, it will describe natural healthcare product utilization, and it will discuss some of the ethical concerns surrounding their use. The second part of the report will discuss the pharmaceutical issues related to natural health product use in community and hospital pharmacy as well as recommendations for the use of these products in healthcare establishments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.011 | 0.012 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".