Bibliographic record
Abstract
What's Changed Bump FedericoCarboni/setup-ffmpeg from 2 to 3 by @dependabot in https://github.com/adrn/gala/pull/354 Bump codecov/codecov-action from 3.1.4 to 3.1.5 by @dependabot in https://github.com/adrn/gala/pull/356 Bump pypa/cibuildwheel from 2.16.2 to 2.16.4 by @dependabot in https://github.com/adrn/gala/pull/357 Bump codecov/codecov-action from 3.1.5 to 4.0.1 by @dependabot in https://github.com/adrn/gala/pull/359 Only upload to testpypi on push to main, and update upload/download artifact by @adrn in https://github.com/adrn/gala/pull/361 Bug fix in FardalStreamDF. by @jl3937 in https://github.com/adrn/gala/pull/358 Bump pypa/cibuildwheel from 2.16.4 to 2.16.5 by @dependabot in https://github.com/adrn/gala/pull/360 Bump codecov/codecov-action from 4.0.1 to 4.1.0 by @dependabot in https://github.com/adrn/gala/pull/363 Fix Potential.plot_rotation_curve() when an ax is provided by @adrn in https://github.com/adrn/gala/pull/362 Enable passing a multiprocessing/parallel pool when computing SCF coefficients by @adrn in https://github.com/adrn/gala/pull/364 Bump pypa/cibuildwheel from 2.16.5 to 2.17.0 by @dependabot in https://github.com/adrn/gala/pull/365 Fix inefficient nbody orbit reorder by @adrn in https://github.com/adrn/gala/pull/366 Added Burkert cpotential by @HSouch in https://github.com/adrn/gala/pull/367 Fix passing nbody instance to mockstream.run with save_all=False by @adrn in https://github.com/adrn/gala/pull/369 Add implementation of make_getter (removed from astropy) by @adrn in https://github.com/adrn/gala/pull/377 Compatibility with numpy 2.0 by @adrn in https://github.com/adrn/gala/pull/387 Bump pypa/cibuildwheel from 2.17.0 to 2.20.0 by @dependabot in https://github.com/adrn/gala/pull/385 Remove unused modules by @AlexKurek in https://github.com/adrn/gala/pull/384 deprecate Integrator.run for integrator.call by @nstarman in https://github.com/adrn/gala/pull/355 Added "from_r0" to Burkert potential by @HSouch in https://github.com/adrn/gala/pull/370 Implement Chen+24 particle spray model by @ybillchen in https://github.com/adrn/gala/pull/386 New Contributors @jl3937 made their first contribution in https://github.com/adrn/gala/pull/358 @HSouch made their first contribution in https://github.com/adrn/gala/pull/367 @AlexKurek made their first contribution in https://github.com/adrn/gala/pull/384 @ybillchen made their first contribution in https://github.com/adrn/gala/pull/386 Full Changelog: https://github.com/adrn/gala/compare/v1.8.1...v1.9.0
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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.007 | 0.005 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.012 | 0.008 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.452 | 0.658 |
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".