Bibliographic record
Abstract
The website http://www.palliativedrugs.com has provided essential independent information about drugs used in palliative and hospice care for over a decade. It contains the on-line Palliative Care Formulary (PCF) and provides free access to a Bulletin board to stimulate questions and share experiences, a Document library containing 475 items of useful information and a Syringe Driver Survey Database containing details of over 2350 different drug combinations. Territory-specific book versions (the UK PCF , Hospice and Palliative Care Formulary USA 2nd edition and PCF Canadian edition) an e-book PDF version of the PCF and subscription to the continually updated on-line PCF can also be purchased via the website. This feature provides a selection of items that have featured in the News and Latest additions sections in recent months; for additional information, please register for free on the website . ### New drug driving offence: Department for Transport guidance The UK Government Department for Transport has produced guidance for health professionals on the new drug driving offence; driving in excess of specified levels of certain controlled drugs in the body. This offence, which is in addition to the existing rules on drug impaired driving and fitness to drive, is expected to come into force on 2 March 2015. ### Cochrane reviews The following Cochrane reviews have been published in full on-line:
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.597 | 0.425 |
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".