MétaCan
Menu
Back to cohort
Record W3028537003 · doi:10.1016/s2215-0366(20)30138-3

Minocycline and celecoxib as adjunctive treatments for bipolar depression: a multicentre, factorial design randomised controlled trial

2020· article· en· W3028537003 on OpenAlexafffund
Muhammad Ishrat Husain, Imran B. Chaudhry, Ameer B. Khoso, Muhammad Omair Husain, John Hodsoll, Moin Ahmed Ansari, Haider Naqvi, André F. Carvalho, Jeffrey H. Meyer, J.F.W. Deakin, Benoit H. Mulsant, Nusrat Husain, Allan H. Young

Bibliographic record

VenueThe Lancet Psychiatry · 2020
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersNewcastle upon Tyne Hospitals NHS Foundation TrustCentre for Addiction and Mental Health FoundationFondation Brain CanadaCanadian Institutes of Health ResearchNational Institute for Health and Care ResearchNational Institutes of HealthStanley Medical Research InstituteKing's College LondonPatient-Centered Outcomes Research Institute
KeywordsCelecoxibPlaceboMinocyclineMedicineBipolar I disorderClinical trialDepression (economics)Bipolar disorderRandomized controlled trialInternal medicinePsychiatryManiaLithium (medication)

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.059
GPT teacher head0.300
Teacher spread0.242 · 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 designRandomized trial
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

Citations166
Published2020
Admission routes2
Has abstractno

Explore more

Same venueThe Lancet PsychiatrySame topicTryptophan and brain disordersFrench-language works237,207