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Immunogenetics of lithium response and psychiatric phenotypes in patients with bipolar disorder
Marisol Herrera-Rivero, Karina Gutiérrez-Fragoso, Anbupalam Thalamuthu, Azmeraw T. Amare, Mazda Adli, Kazufumi Akiyama, Nirmala Akula, Raffaella Ardau, Bárbara Arias, Jean‐Michel Aubry, Lena Backlund, Frank Bellivier, Antonio Benabarre, Susanne Bengesser, Bhattacharjee Abesh, Joanna M. Biernacka, Armin Birner, Micah Cearns, Pablo Cervantes, Hsi‐Chung Chen, Caterina Chillotti, Sven Cichon, Scott R. Clark, Francesc Colom, Cristiana Cruceanu, Piotr M. Czerski, Nina Dalkner, Franziska Degenhardt, Maria Del Zompo, J. Raymond DePaulo, Bruno Étain, Peter Falkai, Ewa Ferensztajn‐Rochowiak, Andreas J. Forstner, Josef Frank, Louise Frisén, Mark A. Frye, Janice M. Fullerton, Carla Gallo, Sébastien Gard, Julie Garnham, Fernando S. Goes, Maria Grigoroiu‐Serbânescu, Paul Grof, Ryota Hashimoto, Roland Hasler, Joanna Hauser, Urs Heilbronner, Stefan Herms, Per Hoffmann, Liping Hou, Yi‐Hsiang Hsu, Stéphane Jamain, Esther Jiménez, Jean‐Pierre Kahn, Layla Kassem, Tadafumi Kato, John R. Kelsoe, Sarah Kittel‐Schneider, Po‐Hsiu Kuo, Joachim Kurtz, Ichiro Kusumi, Barbara König, Gonzalo Laje, Mikael Landén, Catharina Lavebratt, Marion Leboyer, Susan G. Leckband, Mario Maj, Mirko Manchia, Cynthia Marie‐Claire, Lina Martinsson, Michael J. McCarthy, Susan L. McElroy, Vincent Millischer, Marina Mitjans, Francis M. Mondimore, Palmiero Monteleone, Caroline M. Nievergelt, Tomáš Novák, Markus M. Nöthen, Claire O’Donovan, Norio Ozaki, Sergi Papiol, Andrea Pfennig, Claudia Pisanu, James B. Potash, Andreas Reif, Eva Z. Reininghaus, Hélène Richard-Lepouriel, Gloria Roberts, Guy A. Rouleau, Janusz Rybakowski, Martin Schalling, Peter R. Schofield, Klaus Oliver Schubert, Eva C. Schulte, Barbara Schweizer, Giovanni Severino, Tatyana Shekhtman, Paul D. Shilling, Kazutaka Shimoda, Christian Simhandl, Claire Slaney, Alessio Squassina, Thomas Stamm, Pavla Stopková, Fabian Streit, Fasil Tekola‐Ayele, Alfonso Tortorella, Gustavo Turecki, Julia Veeh, Eduard Vieta, Biju Viswanath, Stephanie H. Witt, Peter P. Zandi, Martin Alda, Michael Bauer, Francis J. McMahon, Philip B. Mitchell, Marcella Rietschel, Thomas G. Schulze, Bernhard T. Baune
Bibliographic record
VenueResearch Square · 2023
Typepreprint
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsDouglas Mental Health University InstituteMcGill UniversityDalhousie UniversityMcGill University Health Centre
FundersCilagNational Health and Medical Research CouncilGedeon RichterMedical Research CouncilH. Lundbeck A/SServierDeutsche ForschungsgemeinschaftGlaxoSmithKlineBundesministerium für Bildung und ForschungNeuraxpharmSunovionAllerganEli Lilly and Company
KeywordsBipolar disorderLithium (medication)PhenotypePsychiatryPsychologyClinical psychologyMedicineGeneticsBiologyGene
Abstract
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 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)0.001
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 score0.043
Threshold uncertainty score0.739
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 head0.029
GPT teacher head0.346
Teacher spread0.317 · 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
Citations6
Published2023
Admission routes1
Has abstractno