Bibliographic record
Abstract
Changes: a2ba04ed86536371d7a8387233c89190ec113c56 add mailmap check workflow (#1644) 1016ed0037c5d67f3299b432f8e13e0f8b9f34af Adding Interactive Initialization Documentation (#1589) b69b093f2180511cae0c28870e7c93e9368492a4 Correct misspelling in sdec_plot (#1627) 07a20110ddd7308c54c741151f9addfa2570e8e7 Formatting Logging Output for Simulation (#1632) 7a7d135aeb7fe4e43e81db5b7a9b5f86869d7699 Changes to tardis environment (#1652) fa2925d233bdcb02135d3c82341aed8cdc6cc53d Added functionality to detect running environment for simulations (#1650) 66b10ad8d63f8cbe0d739e67ed27352c048dd915 Added flag to disable notebook rendering in Sphinx (#1615) e847a59764f60901870ae7fac85276713a946852 force orphan gh-pages branch (#1651) 049aa34ecec9bd08b29027063fc4cb758316fcb6 Restructure Documentation (#1643) 8aec326065b46d97c5d647739376c34397fbab6a Added fix for the packet logging while parallelism is enbaled. The vpacket collections are cached at the start of the loop and data is extracted afterwards (#1647) See More ec164ddae80c9dad868c30531d6588d25b618aa6 Configured codecov (#1645) f18033e66cb76dc7f72d7c52e4bd16974db3382f Added GitHub pages instructions (#1586) This list of changes was auto generated.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.008 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.471 | 0.559 |
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".