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Record W3158136900 · doi:10.1111/bdi.13092

The RANZCP 2020 guideline summaries and the need for standardised guideline development

2021· article· en· W3158136900 on OpenAlexaboutno aff
R. Taylor, Anthony J. Cleare

Bibliographic record

VenueBipolar Disorders · 2021
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsnot available
FundersNational Institute for Health and Care ResearchSouth London and Maudsley NHS Foundation Trust
KeywordsGuidelineCLARITYMoodNoveltyBipolar disorderPsychologyMedicineMood disordersQuality (philosophy)Treatment of bipolar disorderPsychiatryManiaAnxiety

Abstract

fetched live from OpenAlex

The bipolar disorder and major depression summaries of the 2020 Royal Australian and New Zealand College of Psychiatrists (RANZCP) clinical practice guidelines for mood disorders, published in the December 2020 issue of Bipolar Disorders, provide accessible and condensed overviews of current recommendations for diagnosis and management.1,2 The 2020 guidelines 3 replace the 2015 versions, and include some notable differences, most obviously in O RCI D

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)0.205
metaresearch head score (Gemma)0.547
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.795
Threshold uncertainty score0.980

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2050.547
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0090.010
Science and technology studies0.0020.004
Scholarly communication0.0160.011
Open science0.0080.008
Research integrity0.0120.018
Insufficient payload (model declined to judge)0.0110.007

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 head0.048
GPT teacher head0.396
Teacher spread0.348 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainMethods
GenreCommentary

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

Citations1
Published2021
Admission routes1
Has abstractyes

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