LORIS (Longitudinal Online Research and Imaging System)
Bibliographic record
Abstract
What's Changed [media] React Warning on Upload Tab by @skarya22 in https://github.com/aces/Loris/pull/8721 [issue_tracker] Do not display inactive users in issue form by @charlottesce in https://github.com/aces/Loris/pull/8841 [LINST] skip metadatafields for surveys by @zaliqarosli in https://github.com/aces/Loris/pull/8961 [dictionary] Fixes for correct displaying "Data Type" column for the enumeration type in the "Data Dictionary (Beta)" table by @yagurdmitriy in https://github.com/aces/Loris/pull/8976 [tools] Fix efficiency of fix_candidate_age script by @CamilleBeau in https://github.com/aces/Loris/pull/8992 [media] fixes issue when media module try to instantiate a non existing instrument. by @racostas in https://github.com/aces/Loris/pull/8903 [instrument_list] Fix deprecation warning by @driusan in https://github.com/aces/Loris/pull/8867 [LINST] fix survey and date issues by @ridz1208 in https://github.com/aces/Loris/pull/8858 [JSX] Modal Width Prop by @skarya22 in https://github.com/aces/Loris/pull/8893 [libraries] Get examiner sites by UserID by @CamilleBeau in https://github.com/aces/Loris/pull/8994 [genomic_browser] Download button not showing up in the Files tab by @ridz1208 in https://github.com/aces/Loris/pull/8480 [issue_tracker - raisinbread/tools] Fix issue tracker history wrong module ID by @zaliqarosli in https://github.com/aces/Loris/pull/8677 [Issue Tracker] Issue Change Notifications by @skarya22 in https://github.com/aces/Loris/pull/8885 [behavioural_qc] fixes visitLevel feedback not showing up. by @racostas in https://github.com/aces/Loris/pull/8900 [battery_manager] Update Test Plan by @skarya22 in https://github.com/aces/Loris/pull/8782 New Contributors @yagurdmitriy made their first contribution in https://github.com/aces/Loris/pull/8976 Full Changelog: https://github.com/aces/Loris/compare/v25.0.1...v25.0.2
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 | 0.012 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.528 | 0.391 |
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".