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Creating coordination in the Cerebellum
Pavle R. Anđjus, Akiko Arata, M. Ito, Bertrand Bearzatto, Laurent Servais, Fawzia Baba‐Aïssa, Serge N. Schiffmann, Stéphane Schurmans, Guy Chéron, James M. Bower, Lawrence M. Parsons, Augusto Petacchi, Anna Devor, Eric Burguière, Alain Berthoz, Sidney I. Wiener, Laure Rondi‐Reig, Mandy Rutteman, C. I. De Zeeuw, Sebastiaan K. E. Koekkoek, Aline Campana, Isabelle Dusart, R. Wherlé, Jean Mariani, Alain Chédotal, Constantino Sotelo, Lina Bouslama, Abdel Ghoumari, Jonathan B Weitzman, Moshé Yaniv, Paolo Cavallari, Roberto Esposti, Gabriella Cerri, Nadia L. Cerminara, Richard Apps, D.E. Marple-Horvat, Bernard Dan, John Wagstaff, Edith Chorev, Yuval Yarom, Dan Rokni, Freek E. Hoebeek, Adriaan M. van Alphen, Martijn Schonewille, Maarten A. Frens, Jeroen Goossens, Jennifer E. Slemmer, John T. Weber, Beerend H. J. Winkelman, Tom J. H. Ruigrok, Erika Sabel-Goedknegt, Yair Manor, Goran Söhl, K. Willecke, David Philipona, E. Dognin, Olivier Coenen, Elisabetta Sola, Francesca Prestori, Paola Rossi, Vanni Taglietti, Egidio D’Angelo, David Gall, Lia Forti, Giovanna De Filippi, Tristan Baldwinson, Emanuele Sher, C.‐F. Ekerot, Henrik Jörntell, Guillermo Fernández, Salvador Martı́nez, Céline Roussel, Donna L. Gruol, Jeffrey G. Netzeband, Lely A. Quina, J.‐P. Stahl, Fabrice Ango, Graziella Di Cristo, H. Hagashiyama, Vann Bennett, Z. Josh Huang, Thomas Launey, J. Harano, Shogo Endo, Reiko Sakai, Ann M. Lohof, Rachel M. Sherrard, Hanzhang Lu, Chi‐ming Huang, M. J. Hartmann, Sarah P. Marshall, Eric J. Lang, Takehiro Michikawa, K. Mikoshiba, M. Nitschke, Christian Erdmann, T. Arp, Andreas Sprenger, D. Kömpf, Ferdinand Binkofski, W. Heide, U Melchert, D. Petersen, Christine M. Pedroarena, Cornelius Schwarz, Jeremy D. Schmahmann, Stephen Grill, Marilyn Walker, S. Saito, Keiko Kato, Elizabeth M. Sajdel-Sulkowska, K. Nguon, Fekrije Selimi, Nathaniel Heintz, Q. Wang, Ileana M. Cristea, Brian T. Chait, Maria Francesca Serapide, Federico Cicirata, C. De Saedeleer, Beat Schwaller, Jerome D. Swinny, D. Kalicharan, J.J.L. van der Want, Jos Ijkema‐Paassen, Albert Gramsbergen, Friedrich Metzger, Erik De Schutter, Reinoud Maex, Timothy J. Ebner, Michael Häusser, Richard Hawkes, Karl Herrup, Stephen G. Lisberger, Enrico Mugnaini, Marco J. Russo, Krzysztof Ptak, Harry T. Orr, Huda Y. Zoghbi, Ferdinando Rossi, Laura Morando, Roberta Cesa, J. I. Simpson, Andréa Dumoulin, Antoine Triller, Stéphane Dieudonné, Guillaume P. Dugué, Angeliki Louvi, P Alexandre, Marion Wassef, Wolfgang Wurst
Bibliographic record
VenueThe Cerebellum · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCerebellumMotor coordinationNeurologyNeurosciencePsychology
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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.690
Threshold uncertainty score0.261
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 head0.012
GPT teacher head0.244
Teacher spread0.232 · 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.
The models applied no category: nothing in the taxonomy fit this work.
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
Citations4
Published2004
Admission routes1
Has abstractno