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Association between solar insolation and a history of suicide attempts in bipolar I disorder

2019· article· en· W2921197931 on OpenAlexaff
Michael Bauer, Tasha Glenn, Martin Alda, Ole A. Andreassen, Elias Angelopoulos, Raffaella Ardau, Yavuz Ayhan, Christopher Baethge, Rita Bauer, Bernhard T. Baune, Claudia Becerra‐Palars, Frank Bellivier, Robert H. Belmaker, Michael Berk, Yuly Bersudsky, Şule Bıçakcı, Harriet Birabwa‐Oketcho, Thomas Bjella, Jorge Cabrera, Eric Yat Wo Cheung, Maria Del Zompo, Seetal Dodd, Markus Donix, Bruno Étain, Andrea Fagiolini, Mark A. Frye, Ana González‐Pinto, John F. Gottlieb, Paul Grof, Hirohiko Harima, Chantal Henry, Erkki Isometsä, Sven Janno, Flávio Kapczinski, Mathias Kardell, Slim Khaldi, Sebastian Kliwicki, Barbara König, Timur L. Kot, Rikke Krogh, Maurício Kunz, Beny Lafer, Mikael Landén, Erik Roj Larsen, Ute Lewitzka, Rasmus Wentzer Licht, Carlos López‐Jaramillo, Glenda MacQueen, Mirko Manchia, Wendy Marsh, Mónica Martínez‐Cengotitabengoa, Ingrid Melle, Fátima Meza-Urzúa, Mok Yee Ming, Scott Monteith, Gunnar Morken, Enrica Mosca, Anton A. Mozzhegorov, Rodrigo Muñoz, Starlin Vijay Mythri, F. Nacef, Ravi Kumar Nadella, Fabiano G. Nery, René Ernst Nielsen, Claire O’Donovan, Adel Omrani, Yamima Osher, Helle Østermark Sørensen, Uta Ouali, Yolanda Pica Ruiz, Maximilian Pilhatsch, Marco Pinna, Francisco Diego Rabelo da Ponte, Danilo Quiroz, Raj Ramesar, Natalie Rasgon, M. S. Reddy, Andreas Reif, Philipp Ritter, Janusz Rybakowski, Kemal Sagduyu, Bharathram Sathur Raghuraman, Ângela Miranda Scippa, Emanuel Severus, Christian Simhandl, Paul W. Stackhouse, Dan J. Stein, Sergio Strejilevich, Mythily Subramaniam, Ahmad Hatim Sulaiman, Kirsi Suominen, Hiromi Tagata, Yoshitaka Tatebayashi, Leonardo Tondo, Carla Torrent, Edgar Arrua Vares, Julia Veeh, Eduard Vieta, Biju Viswanath, María Yoldi‐Negrete, Mark Zetin, Yosra Zgueb, Peter C. Whybrow

Bibliographic record

VenueJournal of Psychiatric Research · 2019
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsCentre for Movement DisordersUniversity of TorontoUniversity of CalgaryDalhousie University
FundersNorges ForskningsrådVetenskapsrådetStiftelsen för Strategisk Forskning
KeywordsBipolar disorderInsolationDemographySuicide attemptEnvironmental sciencePoison controlMedicinePsychiatryClimatologySuicide preventionMedical emergencyGeologyLithium (medication)Sociology

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.042
GPT teacher head0.355
Teacher spread0.313 · 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 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

Citations45
Published2019
Admission routes1
Has abstractno

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