■ ■ Pharmacy Management Methods in Canada, Including Lower-Cost Therapy for Heartburn
Bibliographic record
Abstract
Total health care spending in Canada was Can $3,003 per capita in 2003, nearly 50 % less than the $5,635 per capita spent in the United States in the same year.1 Steinbrook, in a recent commentary, explained that 70 % of health care funding in Canada comes from the public sector, and the private sector, by law, cannot provide either hospital or physician services, except supplemental coverage for perquisites such as private hospital rooms.2 Private funding of health care services in Canada is concentrated in pharmacy, dental services, optometry, home care, and other services not covered by the government. There is, however a dizzying array of regulations among the 10 provinces in Canada, which have the responsibility for managing health care.3 Review of the heartburn class of drugs, an important category of spending in Canada as in the United States, provides insight into the challenges and opportunities in
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".