Bibliographic record
Abstract
This is the second public beta release of MathJax v3. NOTE This is a beta release. Do not use this in production but please test it and report issues at https://github.com/mathjax/mathjax-v3/issues! The master branch is not the beta release; it is the current development copy, set up for development testing. The beta branch is the beta release. What's New The TeX input jax has been updated and expanded to include more complete coverage, including a number of extensions that were not previously available (e.g., mhchem, cancel, and verb) as well as implementations for features such as tags and labels. The CommonHTML output was refactored to separate out functions that can be used by other output renderers (such as bounding box computations and positioning computations) from the HTML-specific code. This made is easy to implement the new output renderer for SVG output, which is included in this beta release. In addition, a number of bug fixes and enhancements are included. For example, both output renderers now handle characters that aren't in the MathJax TeX fonts. What's Included This beta version includes two input processors (TeX and MathML) and two output processors (CommonHTML and SVG). Other input and output processors (e.g., AsciiMath input) will be added in the future. The current TeX input processor has all the core functionality of the MathJax v2 TeX input, and several of the extensions built in, but some extensions are still to come. For example, \unicode, \bbox, and the color extension are not yet available. The CommonHTML and SVG output implement all the MathML elements that they do in v2, but do not yet include support for line breaking (neither automatic nor explicit ones); this will be implemented in a later beta version. Both output renderers currently only support the MathJax TeX font; other fonts will be added in the future. The CommonHTML output currently uses a very large CSS file that encodes the font information needed for all the characters in the MathJax TeX fonts. This is a preliminary implementation of the font support, which will be updated to reduce the size of the CSS in future versions. The SVG output currently uses explicit SVG elements for the characters it displays, whereas version 2 cached the paths in a common SVG element so that paths didn't have to be repeated in the individual expressions that used them. This will be implemented in a future version. The MathJax contextual menu is not yet implemented. The ability to configure MathJax through a configuration object, as in v2, is limited at the moment. In version 3, this type of customization is handled through building custom packed versions of MathJax, and that is not yet fully documented. Examples The https://github.com/mathjax/mj3-demos repository includes examples and webpacked files for the beta release. See the instructions there for how to use them. The https://github.com/mathjax/mj3-demos-node repository includes examples for how to use MathJax version 3 with NodeJS.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.564 | 0.624 |
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".