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Record W4415054088 · doi:10.1016/j.jad.2025.120352

Corrigendum to “The role of the psychedelic experience in psilocybin treatment for treatment-resistant depression” [Journal of Affective Disorders, Volume 372 (2025), Pages 523-532]

2025· erratum· en· W4415054088 on OpenAlexaff
Guy M. Goodwin, Scott T. Aaronson, Oscar Alvarez, Robin Carhart‐Harris, J. Chai-Rees, Megan Croal, Charles DeBattista, Boadie W. Dunlop, David Feifel, David J. Hellerstein, Muhammad Ishrat Husain, John R. Kelly, Namik Kirlić, Rasmus Wentzer Licht, Lindsey Marwood, Thomas D. Meyer, Sunil Mistry, Tomáš Páleníček, Dimitris Repantis, Robert A. Schoevers, Hollie Simmons, Metten Somers, Joyce Tsai, Mourad Wahba, Sam Williams, Allan H. Young, Matthew B. Young, Sidney Zisook, Ekaterina Malievskaia

Bibliographic record

VenueJournal of Affective Disorders · 2025
Typeerratum
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsRegretRegressionLinear regressionRegression analysisDimension (graph theory)Rating scaleConfidence intervalId, ego and super-ego

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.340
Teacher spread0.316 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractno

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