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Author Correction: Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network
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Meehan, Niklas Mejhert, Alison Meynert, Norihisa Mikami, Akiko Minoda, Hisashi Miura, Yohei Miyagi, Atsushi Miyawaki, Yosuke Mizuno, Hiromasa Morikawa, Mitsuru Morimoto, M. Morioka, Soji Morishita, Kazuyo Moro, Efthymios Motakis, Hozumi Motohashi, Abdul Kadir Mukarram, Christine L. Mummery, Chris Mungall, Yasuhiro Murakawa, Masami Muramatsu, Kazunori Nagasaka, Takahide Nagase, Yutaka Nakachi, Fumio Nakahara, Kenta Nakai, Kumi Nakamura, Yasukazu Nakamura, Yukio Nakamura, Toru Nakazawa, Guy P. Nason, Chirag Nepal, Quan Nguyen, Lars K. Nielsen, Kohji Nishida, Koji M. Nishiguchi, Hiromi Nishiyori, Kazuhiro R. Nitta, Cédric Notredame, Soichi Ogishima, Naganari Ohkura, Hiroshi Ohno, Mitsuhiro Ohshima, Takashi Ohtsu, Yukinori Okada, Mariko Okada, Yasushi Okazaki, Per Oksvold, Valerio Orlando, Ghim Sion Ow, Mumin Ozturk, Mikhail Pachkov, Triantafyllos Paparountas, Suraj P. Parihar, Sung‐Joon Park, Giovanni Pascarella, Robert Passier, Helena Persson, Ingrid H.C.H.M. 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Bibliographic record
VenueNature Communications · 2022
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsChild and Family Research InstituteUniversity of British ColumbiaMcGill University
Fundersnot available
KeywordsComputational biologySequence (biology)Transcription (linguistics)BiologyMicrosatelliteEvolutionary biologyGeneticsComputer scienceGeneAllele
Abstract
The original version of this Article incorrectly included Kristina Hettne as a current member of the FANTOM consortium at the time of publication. This has now been corrected in both the PDF and HTML versions of the Article.
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 imitationNot 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)0.003
metaresearch head score (Gemma)0.044
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 score0.058
Threshold uncertainty score0.192
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.044 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.058 | 0.033 |
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 head0.017
GPT teacher head0.289
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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".
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Citations0
Published2022
Admission routes1
Has abstractyes