Bibliographic record
Abstract
The i5k Workspace @ NAL is a platform for communities around ��orphaned�� arthropod genome projects to access, visualize, curate and disseminate their data. If you would like for us to host your genome project, please visit our Project and Data submission page, and then contact us to get started. You can also read our paper on the i5k Workspace, view our posters and talks, and find our software projects on github. \n About the i5k initiative \n The i5k initiative is a transformative project that aims to sequence and analyze the genomes of 5,000 arthropod species. The National Agricultural Library has partnered with the i5k initiative to create the i5k Workspace @ NAL, which serves any ��orphaned�� arthropod genome project's hosting needs. For more information about the i5k initiative, read the paper and visit the website. Resources in this dataset: Resource Title: i5K Workspace@NAL. File Name: Web Page, url: https://i5k.nal.usda.gov/ The i5K Workspace @ NAL web page, which includes data downloads, tools, tutorials, and other resources. \n CONDITIONS OF USE: \n Many of the genomes, predicted gene sets, and RNA-Seq data hosted on the i5k Workspace @ NAL are not yet published. These data are made publicly available in order to enable rapid research on individual genes prior to genome analysis publication. These data are covered by the Ft. Lauderdale and Toronto agreements. Following these agreements, the data producers make the data available and state their intent to publish analyses, the data users ask permission to use the prepublication data and cite the appropriate source, and the journals and reviewers ensure that articles are published following the guidelines. Please contact the genome community contact, available on each organism page, if you wish to use these sequences in published analyses. Get in touch with the i5k Workspace @ NAL if you have any questions.
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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.009 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.826 | 0.850 |
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".