Notice bibliographique
Résumé
Back to table of contents Previous article Next article Clinical & ResearchFull AccessBBRF Goes Virtual for 2020 SymposiumNick ZagorskiNick ZagorskiSearch for more papers by this authorPublished Online:29 Nov 2020https://doi.org/10.1176/appi.pn.2020.12a23AbstractThe annual symposium, which highlights advances in psychiatric research, included videos by eight leaders in the fields of neuroscience and psychiatry. Videos of the presentations are freely accessible on the BBRF website.The Brain and Behavior Research Foundation (BBRF) in October hosted its annual International Mental Health Research Symposium virtually. During the symposium, scientists who have made exemplary contributions to the fields of neuroscience and psychiatry were recognized.The seven recipients of BBRF’s 2020 Outstanding Achievement Prizes, along with 2020 Pardes Humanitarian Prize co-winner Myrna Weissman, Ph.D. (see story), all recorded videos discussing their research. In keeping with the tradition that the Research Symposium is for the public, the videos are freely accessible on the BBRF website.The 2020 Outstanding Achievement Prize winners were the following:Lieber Prize for Outstanding Achievement in Schizophrenia ResearchAnne S. Bassett, M.D., University of Toronto and Centre for Addiction & Mental Health, for her efforts at characterizing 22q12 deletion syndrome, a rare genetic disorder that produces a schizophrenia-like syndrome.Maltz Prize for Innovative and Promising Schizophrenia ResearchMelissa Gymrek, Ph.D., University of California, San Diego, Institute for Genomic Medicine, for her work exploring the role of repetitive genome segments in autism and schizophrenia.Colvin Prize for Outstanding Achievement in Mood Disorder ResearchMartin Alda, M.D., Dalhousie University, for his decades of research exploring the development and trajectory of bipolar disorder in order to identify optimal treatments.Gustavo Turecki, M.D., Ph.D., Douglas Institute, McGill University, for his studies of how early life abuse and trauma contribute to increased suicide risk.Goldman-Rakic Prize for Outstanding Achievement in Cognitive Neuroscience ResearchAngela C. Roberts, Ph.D., University of Cambridge, for her studies mapping out the neural circuits that regulate pleasure and fear—both of which play significant roles in depressive symptoms.Robert Desimone, Ph.D., Massachusetts Institute of Technology, for mapping out brain circuits related to attention and how their dysfunction leads to a variety of brain disorders.Ruane Prize for Outstanding Achievement in Child & Adolescent Psychiatric ResearchJoan L. Luby, M.D., Washington University School of Medicine, for her studies into how early life experiences shape the developing brain and how this knowledge can improve pediatric public health.“While I wish we could have been together as we have for the past 30 years, I am thrilled at the number of people from across the world who tuned in to our virtual symposium,” said Jeffrey Borenstein, M.D., BBRF president and CEO and editor-in-chief of Psychiatric News. “I hope that everyone found the presentations as inspiring and informative as I did.” ■Watch the 2020 BBRF Research Symposium presentations here. ISSUES NewArchived
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».