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Record W2025813437 · doi:10.1038/nature04689

DNA sequence of human chromosome 17 and analysis of rearrangement in the human lineage

2006· article· en· W2025813437 on OpenAlexaff
Michael C. Zody, Manuel Garber, David J. Adams, Ted Sharpe, Jennifer Harrow, James R. Lupski, Christine Nicholson, S. Searle, Laurens Wilming, Sarah Young, Amr Abouelleil, Nicole R. Allen, Weimin Bi, Toby Bloom, Mark L. Borowsky, Boris Bugalter, Jonathan A. Butler, Jean L. Chang, Chao-Kung Chen, April Cook, Benjamin Corum, Christina A. Cuomo, Pieter J. de Jong, David DeCaprio, Ken Dewar, Michael G. FitzGerald, James Gilbert, Richard Gibson, Sante Gnerre, Steven Goldstein, Darren Grafham, Russell Grocock, Nabil Hafez, Daniel S. Hagopian, Elizabeth A. Hart, Catherine Hosage Norman, Sean Humphray, David B. Jaffe, Matt Jones, Michael Kamal, Varsha Khodiyar, Kurt LaButti, Gavin K. Laird, Jessica A. Lehoczky, Xiaohong Liu, Tashi Lokyitsang, Jane Loveland, Annie Lui, Pendexter Macdonald, John E. Major, Lucy Matthews, Evan Mauceli, Steven A. McCarroll, Atanas H. Mihalev, Jonathan M. Mudge, Cindy M. Nguyen, Robert Nicol, Sinéad B. O'Leary, Kazutoyo Osoegawa, David C. Schwartz, Charles Shaw‐Smith, Paweł Stankiewicz, Charles A. Steward, David Swarbreck, Vijay Venkataraman, Charles A. Whittaker, Xiaoping Yang, Andrew Zimmer, Allan Bradley, Tim Hubbard, Bruce W. Birren, Jane Rogers, Eric S. Lander, Chad Nusbaum

Bibliographic record

VenueNature · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomic variations and chromosomal abnormalities
Canadian institutionsMcGill University and Génome Québec Innovation Centre
FundersNational Human Genome Research InstituteBroad InstituteWellcome Trust
KeywordsChromosome 21BiologyGene duplicationGeneticsChromosome 22ChromosomeSegmental duplicationHuman genomeChromosome 19GeneChromosome regionsSequence (biology)Chromosome 7 (human)Chromosome 12AutosomeGenomeGene family

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 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)0.000
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 score0.510
Threshold uncertainty score0.181

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.261
Teacher spread0.252 · 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 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

Citations164
Published2006
Admission routes1
Has abstractno

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