Bibliographic record
Abstract
Bugs Fixed Upgrades could fail for users moving many versions at once due to zeroes in date columns PHP 7.1 compatibility fixed (Storage interface type mismatch) "Full" delete confirmation pages (as opposed to popups) prevented the user from actually clicking the delete button (a regression in 2.5) Admin Appearance navigation had the wrong filter name, it is now the correct admin_navigation_appearance (contributed by @luku) The value 0 (zero) was not allowed in several places as an element text (contributed by @luku) It was impossible to navigate to the "top" link in nested navigation on a touch-enabled device. Now a single tap opens the menu (as before), and tapping again on the top link will actually navigate. is_allowed would cause an error if run in the background (or whenever the ACL is not loaded) TinyMCE would not load correctly in some situations on IE (a regression in 2.5) Changes User delete confirm from browse now uses the popup instead of the full page Sample configuration file now links to new location of Zend's session documentation Composer added, currently for dev/testing purposes only The size column of the files table is now bigint, allowing for file sizes greater than 4 GiB (contributed by @jajm) TinyMCE is downgraded to 3.5.11
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.295 | 0.348 |
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".