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Record W2102532874 · doi:10.1186/2047-217x-2-10

Assemblathon 2: evaluating <i>de novo</i> methods of genome assembly in three vertebrate species

2013· article· en· W2102532874 on OpenAlexaff
Keith Bradnam, Joseph Fass, Anton Alexandrov, Paul Baranay, Michael Bechner, İnanç Birol, Sébastien Boisvert, Jarrod Chapman, Guillaume Chapuis, Rayan Chikhi, Hamidreza Chitsaz, Wen‐Chi Chou, Jacques Corbeil, Cristian Del Fabbro, Roderick Docking, Richard Durbin, Dent Earl, Scott Emrich, Pavel Fedotov, Nuno A. Fonseca, Ganeshkumar Ganapathy, Richard A. Gibbs, Sante Gnerre, Élénie Godzaridis, Steve Goldstein, Matthias Haimel, Giles Hall, David Haussler, Joseph Hiatt, Isaac Ho, Jason T. Howard, Martin Hunt, Shaun D. Jackman, David B. Jaffe, Erich D. Jarvis, Huaiyang Jiang, С. В. Казаков, Paul Kersey, Jacob O. Kitzman, James Knight, Sergey Koren, Tak‐Wah Lam, Dominique Lavenier, François Laviolette, Yingrui Li, Zhenyu Li, Binghang Liu, Yue Liu, Ruibang Luo, Iain MacCallum, Matthew D. MacManes, Nicolas Maillet, Sergey Melnikov, Delphine Naquin, Zemin Ning, Thomas D. Otto, Benedict Paten, Octávio S. Paulo, Adam M. Phillippy, Francisco Pina‐Martins, Michael Place, Dariusz Przybylski, Xiang Qin, Carson Qu, Filipe J. Ribeiro, Stephen Richards, Daniel S. Rokhsar, J. Graham Ruby, Simone Scalabrin, Michael C. Schatz, David C. Schwartz, Alexey Sergushichev, Ted Sharpe, Timothy I. Shaw, Jay Shendure, Yujian Shi, Jared T. Simpson, Henry Song, Fedor Tsarev, Francesco Vezzi, Riccardo Vicedomini, Bruno Vieira, Jun Wang, Kim C. Worley, Shuangye Yin, Siu Ming Yiu, Jianying Yuan, Guojie Zhang, Hao Zhang, Shiguo Zhou, Ian Korf

Bibliographic record

VenueGigaScience · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsUniversité LavalBC Cancer Agency
FundersNational Human Genome Research InstituteNational Institute of General Medical SciencesWellcome Trust
KeywordsVertebrateGenomeComputational biologyEvolutionary biologySequence assemblyBiologyComputer scienceData scienceGeneticsGene

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.017
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.983
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.012
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.003
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 head0.039
GPT teacher head0.327
Teacher spread0.288 · 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.

Study designBench or experimental
DomainMethods
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

Citations735
Published2013
Admission routes1
Has abstractyes

Explore more

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