Corrigendum: A novel composite retrotransposon derived from or generated independently of the SVA (SINE/VNTR/<i>Alu</i>) transposon has undergone proliferation in gibbon genomes [Genes Genet. Syst. (2012) 87, p. 181–190]
Bibliographic record
Abstract
This paper was published in error prior to the publication of the gibbon genome sequence assembly and analysis by the Gibbon Genome Analysis Consortium. The genome sequence is provided to the public pre-publication to allow research to proceed faster than the genome analysis would allow These sequences are typically covered by the Fort Lauderdale (1) and later Toronto (2) agreements whereby the data users ask permission to use the pre-publication data and cite the appropriate source. The authors of the paper did not understand these rules correctly, and did not seek permis-sion to use the pre-publication data, which led to the erroneous publication of the paper. The authors apologize to the Gibbon Genome Analysis Consortium for the error, and state here that the paper should be regarded as an invalid publication until the paper describing the gibbon genome sequence assembly and analysis is published by the Consortium. October 23, 2012 Akihiko Koga, Corresponding author Citations: (1) Sharing Data from Large-scale Biological Research Projects: A System of Tripartite Responsibility Report of a meeting organized by the Wellcome Trust and held on 14–15 January 2003 at Fort Lauderdale, USA. (2) Toronto International Data Release Workshop Authors. (2009) Prepublication data sharing Nature 461, 168–170.
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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.128 | 0.092 |
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.
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.
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".