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Record W4388729397 · doi:10.1037/bul0000409

Project harmony: A systematic review and network meta-analysis of psychotherapy and pharmacologic trials for comorbid posttraumatic stress, alcohol, and other drug use disorders.

2023· review· en· W4388729397 on OpenAlexaff
Denise A. Hien, Santiago Papini, Lissette M. Saavedra, Alexandria G. Bauer, Lesia M. Ruglass, Chantel T. Ebrahimi, Skye Fitzpatrick, Teresa López‐Castro, Sonya B. Norman, Therese K. Killeen, Sudie E. Back, Antonio A. Morgan‐López

Bibliographic record

VenuePsychological Bulletin · 2023
Typereview
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsYork University
FundersNational Institute on Drug AbuseNational Institute on Alcohol Abuse and AlcoholismRTI International
KeywordsPsycINFOMeta-analysisPlaceboRandomized controlled trialPsychiatryClinical psychologyExposure therapyPsychologyPsychological interventionAlcohol use disorderMedicineMEDLINEAlcoholInternal medicineAnxietyAlternative medicine

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.032
metaresearch head score (Gemma)0.090
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.032
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.090
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0200.031
Bibliometrics0.0150.012
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0040.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.669
GPT teacher head0.565
Teacher spread0.103 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations34
Published2023
Admission routes1
Has abstractyes

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