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Record W3085256600 · doi:10.1101/gr.270330.120

Corrigendum: Functional annotation of human long noncoding RNAs via molecular phenotyping

2020· erratum· en· W3085256600 on OpenAlexaff
Jordan A. Ramilowski, Chi Wai Yip, Saumya Agrawal, Jen-Chien Chang, Yari Ciani, Ivan V. Kulakovskiy, Mickaël Mendez, Jasmine Li Ching Ooi, John F. Ouyang, Nick Parkinson, Andreas Petri, Leonie Roos, Jessica Severin, Kayoko Yasuzawa, Imad Abugessaisa, Altuna Akalin, Ivan Antonov, Alessandro Bonetti, Hidemasa Bono, Beatrice Borsari, Frank Brombacher, Christopher J. F. Cameron, Carlo Vittorio Cannistraci, Ryan Cardenas, Mélissa Cardon, Howard Chang, Josée Dostie, Luca Ducoli, Alexander V. Favorov, Alexandre Fort, Diego Garrido-Martín, Noa Gil, Juliette Gimenez, Reto Guler, Lusy Handoko, Jayson Harshbarger, Akira Hasegawa, Yuki Hasegawa, Kosuke Hashimoto, Norihito Hayatsu, Peter Heutink, Tetsuro Hirose, Eddie L. Imada, Masayoshi Itoh, Bogumił Kaczkowski, Aditi Kanhere, Emily Kawabata, Hideya Kawaji, Tsugumi Kawashima, S. Thomas Kelly, Miki Kojima, Naoto Kondo, Haruhiko Koseki, Tsukasa Kouno, Anton Kratz, Mariola Kurowska‐Stolarska, Andrew Tae Jun Kwon, Jeffrey T. Leek, Andreas Lennartsson, Marina Lizio, Fernando Martínez López, Joachim Luginbühl, Shiori Maeda, Vsevolod J. Makeev, Luigi Marchionni, Yulia A. Medvedeva, Aki Minoda, Ferenc Müller, Manuel Muñoz-Aguirre, Mitsuyoshi Murata, Hiromi Nishiyori, Kazuhiro R. Nitta, S. Noguchi, Yukihiko Noro, Ramil Nurtdinov, Yasushi Okazaki, Valerio Orlando, Denis Paquette, Callum Parr, Owen J. L. Rackham, Patrizia Rizzu, Diego F. Sánchez, Albin Sandelin, Sanjana Pillay, Colin A. Semple, Youtaro Shibayama, Divya M. Sivaraman, Takahiro Suzuki, Suzannah C. Szumowski, Michihira Tagami, Martin S. Taylor, Chikashi Terao, Malte Thodberg, Supat Thongjuea, Vidisha Tripathi, Igor Ulitsky, Roberto Verardo, Ilya E. Vorontsov, Chinatsu Yamamoto, Robert S. Young, J. Kenneth Baillie, Alistair R. R. Forrest, Roderic Guigó, Michael M. Hoffman, Chung-Chau Hon, Takeya Kasukawa, Sakari Kauppinen, Juha Kere, Boris Lenhard, Claudio Schneider, Harukazu Suzuki, Ken Yagi, Michiel de Hoon, Jay W. Shin, Piero Carninci

Bibliographic record

VenueGenome Research · 2020
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsMcGill University
Fundersnot available
KeywordsBiologyComputational biologyLong non-coding RNAAnnotationNon-coding RNAGeneticsEvolutionary biologymicroRNAGeneRNA

Abstract

fetched live from OpenAlex

The authors would like to correct Figure This correction does not affect any of the conclusions of the article. The corrected image representative of RRAS2-KD-sh769 is provided below, and Figure

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.002
metaresearch head score (Gemma)0.017
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.130
Threshold uncertainty score0.434

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1300.081

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 head0.076
GPT teacher head0.354
Teacher spread0.278 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

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