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Relationship between sunlight and the age of onset of bipolar disorder: An international multisite study
Michael Bauer, Tasha Glenn, Martin Alda, Ole A. Andreassen, Elias Angelopoulos, Raffaella Ardau, Christopher Baethge, Rita Bauer, Frank Bellivier, Robert H. Belmaker, Michael Berk, Thomas Bjella, Letizia Bossini, Yuly Bersudsky, Eric Yat Wo Cheung, Jörn Conell, Maria Del Zompo, Seetal Dodd, Bruno Étain, Andrea Fagiolini, Mark A. Frye, Jade Garneau-Fournier, Ana González‐Pinto, Hirohiko Harima, Stefanie Hassel, Chantal Henry, Apostolos Iacovides, Erkki Isometsä, Flávio Kapczinski, Sebastian Kliwicki, Barbara König, Rikke Krogh, Maurício Kunz, Beny Lafer, Erik Roj Larsen, Ute Lewitzka, Carlos López‐Jaramillo, Glenda MacQueen, Mirko Manchia, Wendy Marsh, Mónica Martínez‐Cengotitabengoa, Ingrid Melle, Scott Monteith, Gunnar Morken, Rodrigo Muñoz, Fabiano G. Nery, Claire O’Donovan, Yamima Osher, Andrea Pfennig, Danilo Quiroz, Raj Ramesar, Natalie Rasgon, Andreas Reif, Philipp Ritter, Janusz Rybakowski, Kemal Sagduyu, Ângela Miranda Scippa, Emanuel Severus, Christian Simhandl, Dan J. Stein, Sergio Strejilevich, Ahmad Hatim Sulaiman, Kirsi Suominen, Hiromi Tagata, Yoshitaka Tatebayashi, Carla Torrent, Eduard Vieta, Biju Viswanath, Mihir J. Wanchoo, Mark Zetin, Peter C. Whybrow
Bibliographic record
VenueJournal of Affective Disorders · 2014
Typearticle
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsUniversity of CalgaryDalhousie University
FundersCilagNational Institute of Mental HealthNational Institute on Alcohol Abuse and AlcoholismBerrikuntza + Ikerketa + Osasuna Eusko FundazioaCanadian Institutes of Health ResearchSpanish Clinical Research NetworkServierAssistance publique-Hôpitaux de ParisNorges ForskningsrådGlaxoSmithKlineConselho Nacional de Desenvolvimento Científico e TecnológicoGedeon RichterDalhousie UniversityNational Health and Medical Research CouncilAstraZenecaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorInstitut National de la Santé et de la Recherche MédicaleAmerican Diabetes AssociationH. Lundbeck A/SSunovionUniversidad de AntioquiaEli Lilly and CompanyEusko JaurlaritzaDeutsche ForschungsgemeinschaftDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Mayo Foundation for Medical Education and ResearchMinisterio de Ciencia e InnovaciónBundesministerium für Bildung und ForschungMedical Research CouncilTeva Pharmaceutical IndustriesCentro de Investigación Biomédica en Red de Salud MentalNational Alliance for Research on Schizophrenia and DepressionBristol-Myers SquibbPfizerEuskal Herriko UnibertsitateaSanofi
KeywordsBipolar disorderSunlightPsychologyPsychiatryMedicineClinical psychologyMoodPhysicsAstronomy
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)0.002
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 score0.006
Threshold uncertainty score0.294
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| 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 | 0.000 |
| 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 head0.018
GPT teacher head0.288
Teacher spread0.270 · 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
Citations52
Published2014
Admission routes2
Has abstractno