Canadian doctors say it is inappropriate for them to prescribe marijuana
Bibliographic record
Abstract
Canadian doctors have rejected plans to allow them to write marijuana “prescriptions” and provide the drug directly to patients. The federal government proposes transferring the responsibility for prescribing marijuana from the public health agency Health Canada to individual doctors in March 2014. But medical associations have warned that the proposals could have adverse consequences for doctors and patients. The Federation of Medical Regulatory Authorities of Canada and the Canadian Medical Association have voiced their concerns in a letter to the health minister, Leona Aglukkaq. It states, “At present, given the lack of scientific-based evidence of the product, there is insufficient information on correct dosage, specifics of patient monitoring and measures of efficacy, possible side effects and interaction with other medications or pre-existing conditions.” The federation’s president, Heidi Oetter, …
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.013 | 0.009 |
| Insufficient payload (model declined to judge) | 0.029 | 0.006 |
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".