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Record W4251401781 · doi:10.1136/bmjspcare-2014-000797

News and updates from palliativedrugs.com

2014· article· en· W4251401781 on OpenAlexaboutno aff
Andrew Wilcock, Sarah Charlesworth

Bibliographic record

VenueBMJ Supportive & Palliative Care · 2014
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsFormularyPalliative careGovernment (linguistics)MedicineFamily medicineBusinessPsychologyWorld Wide WebComputer scienceNursing

Abstract

fetched live from OpenAlex

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:

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.090
GPT teacher head0.422
Teacher spread0.331 · 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 teacher head, not a consensus.

Study designObservational
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
Published2014
Admission routes1
Has abstractyes

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