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Record W2130130554 · doi:10.1016/j.ajhg.2010.11.004

Hypomorphic Temperature-Sensitive Alleles of NSDHL Cause CK Syndrome

2010· article· en· W2130130554 on OpenAlexafffund
Keith W. McLarren, Tesa Severson, Christèle du Souich, David W. Stockton, Lisa E. Kratz, David Cunningham, Glenda Hendson, Ryan D. Morin, Diane Wu, Jessica E. Paul, Jianghong An, Tanya N. Nelson, Athena Chou, Andrea E. DeBarber, Louise S. Merkens, Jacques L. Michaud, Paula J. Waters, Jingyi Yin, Barbara McGillivray, Michelle Demos, Guy A. Rouleau, Karl‐Heinz Grzeschik, Raffaella Smith, Patrick Tarpey, Debbie Shears, Charles E. Schwartz, Jozef Gécz, Michael R. Stratton, Laura Arbour, Jane Hurlburt, Margot I. Van Allen, Gail E. Herman, Yongjun Zhao, Richard Moore, Richard I. Kelley, Steven J.M. Jones, Robert D. Steiner, F. Lucy Raymond, Marco A. Marra, Cornelius F. Boerkoel

Bibliographic record

VenueThe American Journal of Human Genetics · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsSimon Fraser UniversityRare Disease FoundationUniversité de MontréalChild and Family Research InstituteCanada's Michael Smith Genome Sciences CentreUniversity of British Columbia
FundersUniversity of British ColumbiaMichael Smith Health Research BCChild and Family Research Institute
KeywordsAlleleGeneticsBiologyGene

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.264
Teacher spread0.251 · 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 designObservational
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

Citations74
Published2010
Admission routes2
Has abstractno

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