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Record W4210635641 · doi:10.31219/osf.io/ag6u7

Subcutaneous and Intramuscular Parental Ketamine for Treatment of Depression: Clinical Treatment Protocol

2022· preprint· en· W4210635641 on OpenAlexaffabout
Joseph Tham, André Do, Jason A. Fridfinnson, Reza Rafizadeh, Jacky T.P. Siu, George P. Budd, Raymond W. Lam

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsBC Mental Health & Substance Use Services
Fundersnot available
KeywordsKetamineDepression (economics)MedicineTreatment-resistant depressionAntidepressantIntramuscular injectionProtocol (science)Clinical trialAnesthesiaPsychiatryInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

Intravenous (IV) ketamine has been shown to have rapid antidepressant effects in individuals with treatment-resistant depression (TRD). This treatment protocol describes a clinical method for use of subcutaneous (SC) and intramuscular (IM) racemic ketamine in individuals with TRD, developed by a team at the University of British Columbia (UBC), UBC Hospital, and Vancouver General Hospital. The use of SC and IM ketamine may be more feasible in clinical settings than IV ketamine and provide better access to this novel treatment.

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)0.005
metaresearch head score (Gemma)0.007
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.092
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0920.031

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 head0.081
GPT teacher head0.432
Teacher spread0.351 · 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
GenreProtocol

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
Published2022
Admission routes2
Has abstractyes

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