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Third Annual Huntington Disease Clinical Research Symposium
Richard Dubinsky, Judy A. Roberson, G. Battaglia, Milena Cannella, B. Riozzi, S. Orobello, Marion L. C. Maat–Schieman, Eleonora Aronica, C. Letizia Busceti, Andrea Ciarmiello, Silvia Alberti, J. Sassone, Simonetta Sipione, Valeria Bruno, Luigi Frati, Ferdinando Nicoletti, Ferdinando Squitieri, Ashwini K. Rao, Adam Gordon, K. Marder, Jan A. Nolta, Karen E. Anderson, A. Gruber-Baldini, Jack H. Medalie, S. Reich, P. Fishman, B. Robottom, William J. Weiner, Lisa M. Shulman, Douglas R. Langbehn, Julianna Paulsen, Celia Witten, Marie Cox, Andrew Feigin, B. Napolitano, Angeline Goh, Olga Yastrubetskaya, E. Chiu, L. Cloud, S. L. Helmers, R. Jones, Stewart A. Factor, C. Testa Emory, Deb Kegelmeyer, Sandra K. Kostyk, Nora E. Fritz, Anne Kloos, Stephanie Lessig, Jody Goldstein, Jody Corey‐Bloom, Matteo Simonelli, T. Martino, Claudio Colonnese, Jennifer Callaghan, N. Arran, Marie‐Françoise Boissé, A. Coleman, R. Dar Santos, Eve M. Dumas, Ellen Hart, Damián Justo, Joy Read, M. Say, S. van den Bogaard, A. Durr, B. Leavitt, R.A.C. Roos, Sarah J. Tabrizi, Catherine Bourdet, E. van Duijn, D. Craufurd, Kirsty Evans, Anthony L. Vaccarino, E. Aylward, P. Nopoulos, Colin J.D. Ross, Ronald Pierson, James A. Mills, Vincent A. Magnotta, Hans J. Johnson, Andrew Mitchell, Juan C. Cortés, A. Dahmubed, John W. Krakauer, P. Mazzoni, David Russell, D. Jennings, Gilles Tamagnan, John Seibyl, Andrei O. Koren, G. Zubal, Kenneth Marek, LaVonne Goodman, R. Carnes, John S. Giuliano, Laura Vetter, Marcy E. MacDonald, J. Min Lee, I. Sik Seong, Elisa Fossale, Mary Anne Anderson, Vanessa C. Wheeler, J. Gusella, J. Johnson, Tao Yu, D. Jones, Anthony W.S. Chan, Kathryn Richardson, E. McCusker, Clement T. Loy, Jane Griffith, Jane S. Paulsen, Shilah F. Waters, J. Tedroff, Karl Kieburtz, P. Lindskov Krogh, A. Buusman, Å. Rembratt, J Dorey, Michel Lamure, Mondher Toumi, J. -M. Graf von der Schulenburg, Folke Pettersson, T. Dyhring, Clas Sonesson, Nelson F. Waters, Henrik Pontén, C. Erwin, Janet K. Williams, Andrew R. Juhl, William Adams, Joanne A. Byars, Julia O. O'Rourke, Allison Flynn, J. Fiedorowicz, Karen Duff, Anne Leserman, Leigh J. Beglinger, Megan M. Smith, Julie C. Stout, Sarah Queller, Stephen M. Rao, J. Zimbelman, Mark Groves, M. Guttman, Eric Wexler, Susan Perlman, J‐M. Burgunder, Adam Rosenblatt, Daniel van Kammen
Bibliographic record
VenueNeurotherapeutics · 2010
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsCentre for Movement DisordersUniversity of British ColumbiaUniversity of Alberta
FundersIstituto Auxologico ItalianoLeids Universitair Medisch CentrumInstitut National de la Santé et de la Recherche MédicaleUniversiteit van AmsterdamUniversiteit LeidenAssistance publique-Hôpitaux de ParisUniversity College LondonUniversity of Alberta
KeywordsHuntington's diseaseNeurologyDiseaseNeurosurgeryMedicineNeurosciencePsychologyPsychiatryPathology
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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score1.000
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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 head0.126
GPT teacher head0.421
Teacher spread0.295 · 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.
Study designBench or experimental
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
Citations0
Published2010
Admission routes2
Has abstractno