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Sympathetic Neurons

2010· book-chapter· en· W4244042259 on OpenAlexaff
Michael M. Morgan, MacDonald J. Christie, Luı́s de Lecea, Jason C. G. Halford, Josée E. Leysen, Warren H. Meck, Catalin V. Buhusi, Marcy J. Bubar, Kathryn A. Cunningham, Richard W. Foltin, David C. S. Roberts, Andreas Marneros, Alex Hofer, Bart Ellenbroek, Christoph U. Correll, Paul Newhouse, Heather Wilkins, Joris C. Verster, Emma Childs, Gary Remington, Edoardo Spina, W. Wolfgang Fleischhacker, John Atack, Hilde Lavreysen, Sheldon Preskorn, Megan M. Dahmen, Jana Lincoln, Dan J. Stein, Anthony L. Riley, Steve Kohut, Angela Roberts, Marilyn E. Carroll, Peter A. Santi, Stefan Leucht, Klaus A. Miczek, Eileen M. Joyce, Jonathan P. Roiser, Celia J. A. Morgan, Valerie H. Curran, Mary E. Cain, Michael T. Bardo, Terry E. Robinson, Ian Hindmarch, Darrell D. Mousseau, Andrew Holt, Glen B. Baker, Sidney H. Kennedy, Sakina J. Rizvi, Thomas Steckler, Seiya Miyamoto, Şakire Pöğün, Görkem Yararbaş, Jill B. Becker, Anders Ågmo, Vera Astreika, Robert Segraves, Rodrigo Andrade, Yogita Chudasama, Roshan Cools, Iván Izquierdo, Lia R. Bevilaqua, Martı́n Cammarota, Bernard Le Foll, Trevor W. Robbins, Husseini K. Manji, Jorge A. Quiroz, Jos Prickaerts, Ennio Esposito, Sophie Tambour, John C. Crabbe, Peter J. Flor, Inga D. Neumann, Malcolm Lader, Joseph Zohar, Seithikurippu R. Pandi‐Perumal, Milton Kramer, Michael J. Thorpy, Shelby Freedman Harris, D. Warren Spence, Annemarie Unger, Samuel B. Hutton, Huaiyu Yang, George I. Papakostas, S. Kasper, Frank Sams‐Dodd, Yavin Shaham, John R. Mantsch, Craig A. Erickson, David J. Posey, Kelly Blankenship, Kimberly A. Stigler, Christopher J. McDougle, Paul D. Callaghan, Iain S. McGregor, Murray R. Thompson, Michel Billiard, Brian A. Fallon, Kelli J. Harding, Daniël Hoyer, Jacques Epelbaum, Cécile Viollet, Mischa de Rover, Sander Nieuwenhuis, Stan Floresco, Anne Jackson, Mitul A. Mehta, Johannes Mosbacher, Ronald L. Cowan, Robert Kessler, Peter H. Boeijinga, James Winslow, A. Claudio Cuello, Arthur Christopoulos, Gregory D. Stewart, Patrick M. Sexton, Ashwini Padhi, Naomi Fineberg, Mark A. Geyer, Françis C. Colpaert, Andrew Young, Ronald F. Mucha, Christof Baltes, Thomas Mueggler, Markus Rudin, Giovanni Hernández, Peter Shizgal, Marc N. Branch, Ian P. Stolerman, Sharon Morein‐Zamir, Barbara J. Sahakian, Sunila G Nair, Becky Kinkead, Charles B. Nemeroff, Lucy C. Guillory, R. H. De Rijk, E. R. de Kloet, R. H. De Rijk, Francisco Aboitiz, Ximena Carrasco, F. Xavier Castellanos, María Isabel Colado, A. Richard Green, Suzanne H. Mitchell, Harriet de Wit, Alyson J. Bond, Christine A. Franco, Marc N. Potenza, Caroline Cohen, Marc Turiault, Guy Griebel, Darren R. Christensen, Warren K. Bickel, Michael J. Owens, Chase H. Bourke, Gustavo Turecki, Britta Hahn, Sarah Morgan, Angus Mackay, Matthew I. Palmatier, Rick A. Bevins, Lawrence David Scahill, Andrea Bari, Stephen B. Dunnett, Karim Nader, Oliver Hardt, Paola V. Migues, R. Andrew Chambers, David E. Nichols

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsMcGill University
Fundersnot available
KeywordsNeurosciencePsychology

Abstract

fetched live from OpenAlex
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 machine prediction

Teacher imitation

Not 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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.023
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0230.016

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 head0.009
GPT teacher head0.208
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine 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 designNot applicable
Domainnot available
GenreOther

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 routes1
Has abstractno

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