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Correction: Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients
Klaus Oliver Schubert, Anbupalam Thalamuthu, Azmeraw T. Amare, Joseph Frank, Fabian Streit, Mazda Adl, Nirmala Akula, Kazufumi Akiyama, Raffaella Ardau, Bárbara Arias, Jean‐Michel Aubry, Lena Backlund, Abesh Kumar Bhattacharjee, Frank Bellivier, Antonio Benabarre, Susanne Bengesser, Joanna M. Biernacka, Armin Birner, Cynthia Marie‐Claire, Micah Cearns, Pablo Cervantes, Hsi‐Chung Chen, Caterina Chillotti, Sven Cichon, Scott R. Clark, Cristiana Cruceanu, Piotr M. Czerski, Nina Dalkner, Alexandre Dayer, Franziska Degenhardt, Maria Del Zompo, J. Raymond DePaulo, Bruno Étain, Peter Falkai, Andreas J. Forstner, Louise Frisén, Mark A. Frye, Janice M. Fullerton, Sébastien Gard, Julie Garnham, Fernando S. Goes, Maria Grigoroiu‐Serbânescu, Paul Grof, Ryota Hashimoto, Joanna Hauser, Urs Heilbronner, Stefan Herms, Per Hoffmann, Liping Hou, Yi‐Hsiang Hsu, Stéphane Jamain, Esther Jiménez, Jean‐Pierre Kahn, Layla Kassem, Po‐Hsiu Kuo, Tadafumi Kato, John R. Kelsoe, Sarah Kittel‐Schneider, Ewa Ferensztajn‐Rochowiak, Barbara König, Ichiro Kusumi, Gonzalo Laje, Mikael Landén, Catharina Lavebratt, Marion Leboyer, Susan G. Leckband, Mario Maj, Mirko Manchia, Lina Martinsson, Michael J. McCarthy, Susan L. McElroy, Francesc Colom, Marina Mitjans, Francis M. Mondimore, Palmiero Monteleone, Caroline M. Nievergelt, Markus M. Nöthen, Tomáš Novák, Claire O’Donovan, Norio Ozaki, Urban Ösby, Sergi Papiol, Andrea Pfennig, Claudia Pisanu, James B. Potash, Andreas Reif, Eva Z. Reininghaus, Guy A. Rouleau, Janusz Rybakowski, Martin Schalling, Peter R. Schofield, Barbara Schweizer, Giovanni Severino, Tatyana Shekhtman, Paul D. Shilling, Katzutaka Shimoda, Christian Simhandl, Claire Slaney, Alessio Squassina, Thomas Stamm, Pavla Stopková, Fasil Tekola‐Ayele, Alfonso Tortorella, Gustavo Turecki, Julia Veeh, Eduard Vieta, Stephanie H. Witt, Gloria Roberts, Peter P. Zandi, Martin Alda, Michael Bauer, Francis J. McMahon, Philip B. Mitchell, Thomas G. Schulze, Marcella Rietschel, Bernhard T. Baune
Bibliographic record
VenueTranslational Psychiatry · 2022
Typeerratum
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsMcGill UniversityDouglas Mental Health University InstituteMcGill University Health CentreDalhousie UniversityMontreal Neurological Institute and Hospital
FundersNational Health and Medical Research CouncilDeutsche ForschungsgemeinschaftBundesministerium für Bildung und ForschungNational Alliance for Research on Schizophrenia and DepressionMedical Research CouncilBrain and Behavior Research Foundation
KeywordsBipolar disorderSchizophrenia (object-oriented programming)Polygenic risk scoreDepression (economics)PsychiatryLithium (medication)PsychologyClinical psychologyMedicineSingle-nucleotide polymorphismGeneticsBiologyGenotype
Abstract
International audience
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 distilled prediction
Teacher imitationNot 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.900
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.007
GPT teacher head0.233
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Citations1
Published2022
Admission routes1
Has abstractyes