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Record W2081501101 · doi:10.1038/ng.734

Common variants in P2RY11 are associated with narcolepsy

2010· article· en· W2081501101 on OpenAlex
Birgitte Rahbek Kornum, Minae Kawashima, Juliette Faraco, Ling Lin, T. Rico, Stephanie Hesselson, Robert C. Axtell, Hedwich F. Kuipers, Karin Weiner, Alexandra Hamacher, Matthias U. Kassack, Fang Han, Stine Knudsen, Jing Li, Xiaosong Dong, Juliane Winkelmann, Giuseppe Plazzi, Soňa Nevšímalová, Seung‐Chul Hong, Yutaka Honda, Makoto Honda, Birgit Högl, Thanh G.N. Ton, Jacques Montplaisir, Patrice Bourgin, David Kemlink, Yu‐Shu Huang, Simon C. Warby, Mali Einen, Jasmin L Eshragh, Taku Miyagawa, Alex Désautels, Élisabeth Ruppert, Per Egil Hesla, Francesca Poli, Fabio Pizza, Birgit Frauscher, Jong‐Hyun Jeong, Sung-Pil Lee, Kingman P. Strohl, W.T. Longstreth, Mark Kvale, Marie Dobrovolná, Maurice M. Ohayon, Gerald T. Nepom, H‐Erich Wichmann, Guy A. Rouleau, Christian Gieger, Douglas F. Levinson, Pablo V. Gejman, Thomas Meitinger, Paul E. Peppard, Terry Young, Poul Jennum, Lawrence Steinman, Katsushi Tokunaga, Pui–Yan Kwok, Neil Risch, Joachim Hallmayer, Emmanuel Mignot

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNature Genetics · 2010
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsCentre Hospitalier de l’Université de MontréalUniversité de Montréal
FundersNational Institute of Allergy and Infectious DiseasesNational Institute of Neurological Disorders and StrokeNational Institute of Mental HealthNational Institutes of Health
KeywordsBiologyNarcolepsyGeneticsComputational biologyNeuroscienceNeurology

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.

Full frame distilled prediction

Teacher imitation

Not 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.300
Teacher spread0.279 · 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