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Record W2116273170 · doi:10.1177/0269881113503509

Benzodiazepines: Risks and benefits. A reconsideration

2013· article· en· W2116273170 on OpenAlexaff
David S. Baldwin, Katherine J. Aitchison, Alan N. Bateson, H. Valerie Curran, Simon Davies, Brian E. Leonard, David Nutt, David Stephens, Sue Wilson

Bibliographic record

VenueJournal of Psychopharmacology · 2013
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental HealthUniversity of Alberta
Fundersnot available
KeywordsPsychopharmacologyPsychiatryPsychologyAnxiolyticMedicineAnxiety

Abstract

fetched live from OpenAlex

Over the last decade there have been further developments in our knowledge of the risks and benefits of benzodiazepines, and of the risks and benefits of alternatives to benzodiazepines. Representatives drawn from the Psychopharmacology Special Interest Group of the Royal College of Psychiatrists and the British Association for Psychopharmacology together examined these developments, and have provided this joint statement with recommendations for clinical practice. The working group was mindful of widespread concerns about benzodiazepines and related anxiolytic and hypnotic drugs. The group believes that whenever benzodiazepines are prescribed, the potential for dependence or other harmful effects must be considered. However, the group also believes that the risks of dependence associated with long-term use should be balanced against the benefits that in many cases follow from the short or intermittent use of benzodiazepines and the risk of the underlying conditions for which treatment is being provided.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.030
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0030.025
Scholarly communication0.0090.022
Open science0.0040.005
Research integrity0.0280.045
Insufficient payload (model declined to judge)0.0050.003

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 head0.045
GPT teacher head0.354
Teacher spread0.309 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations238
Published2013
Admission routes1
Has abstractyes

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