MétaCan
Menu
← Back to cohort
Record W4392921543 · doi:10.1503/cmaj.150034-l

Navigating the nuances of the Canadian guideline’s stance on selective serotonin reuptake inhibitors in concurrent alcohol use disorder and mood or anxiety disorders

2024· letter· en· W4392921543 on OpenAlexaffvenueabout
Julius Elefante, Clara Lu, Paxton Bach

Bibliographic record

VenueCanadian Medical Association Journal · 2024
Typeletter
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of OttawaBritish Columbia Centre on Substance UseUniversity of British Columbia
FundersNational Institute on Drug Abuse
KeywordsGuidelineAnxietyAlcohol use disorderPsychiatryMoodSerotonin Uptake InhibitorsPsychologyMedicineAlcoholClinical psychologySerotoninInternal medicineFluoxetine

Abstract

fetched live from OpenAlex

The recently published Canadian guideline on alcohol use disorder (AUD) advances the evidence-based management of AUD in Canada.[1][1] A novel addition is a strong recommendation that selective serotonin reuptake inhibitors (SSRIs) should not be prescribed for the treatment of concurrent anxiety or

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)0.012
metaresearch head score (Gemma)0.076
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.385
Threshold uncertainty score0.775

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.076
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0100.009
Scholarly communication0.0060.005
Open science0.0040.003
Research integrity0.0420.057
Insufficient payload (model declined to judge)0.0060.003

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 head0.016
GPT teacher head0.290
Teacher spread0.274 · 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
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

Citations4
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Medical Association Journal→Same topicSubstance Abuse Treatment and Outcomes→French-language works237,207→