← Back to cohort
Collaborative outcomes study on health and functioning during infection times (COH-FIT): Insights on modifiable and non-modifiable risk and protective factors for wellbeing and mental health during the COVID-19 pandemic from multivariable and network analyses
Marco Solmi, Trevor Thompson, Samuele Cortese, Andrés Estradé, Agorastos Agorastos, Joaquim Raduà, Elena Dragioti, Davy Vancampfort, Lau Caspar Thygesen, H.N. Aschauer, Monika Schlögelhofer, Elena Aschauer, Andres R. Schneeberger, Christian G. Huber, Gregor Hasler, Philippe Conus, Kim Q., Roland von Känel, Gonzalo Arrondo, Paolo Fusar‐Poli, Philip Gorwood, Pierre‐Michel Llorca, Marie‐Odile Krebs, Elisabetta Scanferla, Taishiro Kishimoto, Golam Rabbani, Karolina Skonieczna‐Żydecka, Paolo Brambilla, Angela Favaro, Akihiro Takamiya, Leonardo Zoccante, Marco Colizzi, Julie Bourgin, Karol Kamiński, Maryam Moghadasin, Soraya Seedat, Evan Matthews, John Wells, Εmilia Vassilopoulou, Ary Gadelha, Kuan‐Pin Su, Jun Soo Kwon, Minah Kim, Tae Young Lee, Oleg Papsuev, Denisa Manková, Andrea Boscutti, Cristiano Gerunda, Diego Saccon, Elena Righi, Francesco Monaco, Giovanni Croatto, Guido Cereda, Jacopo Demurtas, Natascia Brondino, Nicola Veronese, Paolo Enrico, Pierluigi Politi, Valentina Ciappolino, Andrea Pfennig, Andreas Bechdolf, Andreas Meyer‐Lindenberg, Kai G. Kahl, Katharina Domschke, Michael Bauer, Nikolaos Koutsouleris, Sibylle Winter, Stefan Borgwardt, István Bitter, Judit Balázs, Pál Czobor, Zsolt Unoka, Dimitris Mavridis, Konstantinos Tsamakis, Vasilios P. Bozikas, Chavit Tunvirachaisakul, Michaël Maes, Teerayuth Rungnirundorn, Thitiporn Supasitthumrong, Ariful Haque, André R. Brunoni, Carlos Gustavo Costardi, Felipe Barreto Schuch, Guilherme V. Polanczyk, Jhoanne Merlyn Luiz, Laís Fonseca, Luana V M Aparicio, Samira S. Valvassori, Merete Nordentoft, Per Vendsborg, Sofie Have Hoffmann, Jihed Sehli, Norman Sartorius, Sabina Heuss, Daniel Guinart, Jane Hamilton, John M. Kane, José M. Rubio, Michael Sand, Ai Koyanagi, Aleix Solanes, Álvaro Andreu-Bernabeu, Antonia San José Cáceres, Celso Arango, Covadonga M. Díaz‐Caneja, Diego Hidalgo‐Mazzei, Eduard Vieta, Javier González‐Peñas, Lydia Fortea, Mara Parellada, Miquel À. Fullana, Norma Verdolini, Eva Andrlíková, Karolína Janků, Mark J. Millan, Mihaela Honciuc, Anna Moniuszko‐Malinowska, Igor Łoniewski, Jerzy Samochowiec, Łukasz Kiszkiel, Maria Marlicz, Paweł Sowa, Wojciech Marlicz, Georgina Spies, Brendon Stubbs, Joseph Firth, Sarah Sullivan, Aslı Enez Darçın, Hatice Aksu, Nesrin Dılbaz, Momoko Kitazawa, Shunya Kurokawa, Yuki Tazawa, Alejandro Anselmi, Cecilia Cracco, Ana Inés Machado, Natalia Estrade, Diego De Leo, Jackie Curtis, Michael Berk, André F. Carvalho, Philip B. Ward, Scott Teasdale, Simon Rosenbaum, Wolfgang Marx, Adrian V. Horodnic, Liviu Oprea, Ovidiu Alexinschi, Petru Ifteni, Șerban Turliuc, Tudor Ciuhodaru, Alexandra Boloș, Valentin Matei, Dorien H. Nieman, Iris E. Sommer, Jim van Os, Thérèse van Amelsvoort, Ching-Fang Sun, Ta‐Wei Guu, Can Jiao, Jieting Zhang, Jialin Fan, Liye Zou, Xin Yu, Xinli Chi, Philippe de Timary, Ruud van Winkel, Bernardo Ng, Edilberto Peña de León, Ramón Arellano, Raquel Román, Thelma Sanchez, Larisa Movina, Pedro Morgado, Sofia Brissos, Oleg Aizberg, Anna Mosina, Damir Krinitski, James Mugisha, Dena Sadeghi Bahmani, Farshad Sheybani, Masoud Sadeghi, Samira Hadi, Serge Brand, Antonia Errázuriz, Nicolás Crossley, Dragana Ignjatović Ristić, Carlos López‐Jaramillo, Dimitris Efthymiou, Praveenlal Kuttichira, Roy Abraham Kallivayalil, Afzal Javed, Muhammad Iqbal Afridi, Bawo Onesirosan James, Omonefe Joy Seb‐Akahomen, Jess G. Fiedorowicz, Jeff Daskalakis, Lakshmi N. Yatham, Lin Yang, Tarek Okasha, Aïcha Dahdouh, Jari Tiihonen, Jae Il Shin, Jinhee Lee, Ahmed Mhalla, Lotfi Gaha, Takoua Brahim, Кuanysh Altynbekov, Nikolay Negay, Saltanat Nurmagambetova, Yasser Abu Jamei, Mark Weiser, Christoph U. Correll
Bibliographic record
VenueEuropean Neuropsychopharmacology · 2024
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsAlberta Cancer FoundationAlberta Health ServicesUniversity of British ColumbiaOttawa Hospital
Fundersnot available
KeywordsSocioeconomic statusMedicineMental healthPandemicPopulationGerontologyClinical psychologyEnvironmental healthDemographyPsychologyCoronavirus disease 2019 (COVID-19)PsychiatryDisease
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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)0.006
metaresearch head score (Gemma)0.014
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 score0.032
Threshold uncertainty score0.065
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 head0.089
GPT teacher head0.446
Teacher spread0.357 · 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 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
Citations11
Published2024
Admission routes1
Has abstractyes