Bibliographic record
Abstract
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
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.897 | 0.846 |
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.
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.
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".