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Record W2994354314 · doi:10.1007/s00406-019-01087-w

International Consortium on the Genetics of Electroconvulsive Therapy and Severe Depressive Disorders (Gen-ECT-ic)

2019· article· en· W2994354314 on OpenAlexaff
Takahiro Soda, Declan M. McLoughlin, Scott R. Clark, Leif Oltedal, Ute Keßler, Jan Haavik, Chad Bousman, Daniel J. Smıth, Miquel Bioque, Caitlin C. Clements, Colleen Loo, Fidel Vila‐Rodriguez, Alessandra Minelli, Brian J. Mickey, Roumen Milev, Anna R. Docherty, Julie Langan Martin, Eric D. Achtyes, Volker Arolt, Ronny Redlich, Udo Dannlowski, Narcı́s Cardoner, Emily Clare, Nick Craddock, Arianna Di Florio, Monika Dmitrzak‐Węglarz, Liz Forty, Katherine Gordon‐Smith, Mustafa M. Husain, Wendy Marie Ingram, Lisa Jones, Ian Jones, Mário F. Juruena, George Kirov, Mikael Landén, Daniel J. Müller, Axel Nordensköld, Erik Pålsson, Meethu Paul, Agnieszka Permoda‐Osip, Bartlomiej Pliszka, Jamie Rea, Klaus Oliver Schubert, Joshua A. Sonnen, Virginia Soria, Will Stageman, Akihiro Takamiya, Mikel Urretavizacaya, Stuart Watson, Maxim Zavorotny, Allan H. Young, Eduard Vieta, Janusz Rybakowski, Massimo Gennarelli, Peter P. Zandi, Patrick F. Sullivan, Bernhard T. Baune

Bibliographic record

VenueEuropean Archives of Psychiatry and Clinical Neuroscience · 2019
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsUniversity of TorontoProvidence Health CareQueen's UniversityUniversity of British ColumbiaUniversity of Calgary
FundersNational Center for Advancing Translational SciencesFoundation of Hope for Research and Treatment of Mental IllnessUniversity of North Carolina at Chapel HillAcademy of Medical SciencesNational Institute of Mental HealthMedical Research CouncilNational Institute for Health and Care Research
KeywordsElectroconvulsive therapyDepression (economics)Major depressive disorderGenome-wide association studyPsychiatryPsychologyMedicineGenomicsClinical psychologyCognitionGeneticsSingle-nucleotide polymorphismGenomeBiology

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)0.003
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.022
GPT teacher head0.308
Teacher spread0.286 · 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
GenreOther

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

Citations37
Published2019
Admission routes1
Has abstractno

Explore more

Same venueEuropean Archives of Psychiatry and Clinical NeuroscienceSame topicElectroconvulsive Therapy StudiesFrench-language works237,207