Bibliographic record
Abstract
What's Changed Fix typos by @szepeviktor in https://github.com/tesseract-ocr/tesseract/pull/4497 Fix missing closing tags in multi-page PAGE XML output by @stweil with @Copilot in https://github.com/tesseract-ocr/tesseract/pull/4506 Fix Apple CMAKE_SYSTEM_PROCESSOR not set when crosscompiling by @ppavacic in https://github.com/tesseract-ocr/tesseract/pull/4503 Remove outdated docker-compose.yml (Fixes #4492) by @Mohataseem89 in https://github.com/tesseract-ocr/tesseract/pull/4509 docs: document memory ownership and lifecycle in C-API by @markbus-ai in https://github.com/tesseract-ocr/tesseract/pull/4511 Add Portuguese language support and section descriptions (Windows installer) by @eduardomozart in https://github.com/tesseract-ocr/tesseract/pull/4516 Update Slovak language string in tesseract.nsi by @eduardomozart in https://github.com/tesseract-ocr/tesseract/pull/4518 fix(nsi): mask LANGID to 16-bit for reliable auto-detection by @eduardomozart in https://github.com/tesseract-ocr/tesseract/pull/4513 Add GitHub Copilot instructions by @stweil with @Copilot in https://github.com/tesseract-ocr/tesseract/pull/4508 Correct mutex call to prevent multiple instances by @eduardomozart in https://github.com/tesseract-ocr/tesseract/pull/4517 Update versions of GitHub actions by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4522 Bump microsoft/setup-msbuild from 2 to 3 by @dependabot[bot] in https://github.com/tesseract-ocr/tesseract/pull/4533 Use asciidoctor instead of asciidoc-py for manpage generation by @amitdo with @Copilot in https://github.com/tesseract-ocr/tesseract/pull/4534 Bump actions/upload-artifact from 4 to 7 by @dependabot[bot] in https://github.com/tesseract-ocr/tesseract/pull/4545 autotools: Fix linker warning on macOS by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4559 Fix compiler warning on macOS by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4558 Cmake cleanup by @zdenop in https://github.com/tesseract-ocr/tesseract/pull/4562 Remove SW_BUILD option from CMake and CI by @amitdo with @Copilot in https://github.com/tesseract-ocr/tesseract/pull/4566 Modernize code by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4561 Remove some files by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4569 Modernize more code by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4568 Fix compiler warnings (-Wold-style-cast) by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4571 Fix some compiler warnings (-Wunused-parameter) by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4570 ci: Improve installer for windows by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4572 Fix several issues reported by Codacy (including real bugs) by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4573 Bump actions/checkout from 6 to 7 by @dependabot[bot] in https://github.com/tesseract-ocr/tesseract/pull/4574 Fix crash when LSTM is missing in disabled-legacy build (#4448) by @gaurav0107 in https://github.com/tesseract-ocr/tesseract/pull/4563 ci: Remove unused ilammy/setup-nasm by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4575 autotools: Simplify Makefile rules by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4579 Fix memory-safety issues in .traineddata deserialization by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4581 Handle send() failures in SVNetwork::Flush by @Ramya-9353 in https://github.com/tesseract-ocr/tesseract/pull/4576 Small code improvements by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4585 doc: Add comprehensive PARAMETERS section to the tesseract man page by @stweil with @Copilot in https://github.com/tesseract-ocr/tesseract/pull/4526 Fix integer overflow in LSTM Convolve and Reconfig deserialization by @stweil in https://github.com/tesseract-ocr/tesseract/pull/4588 New Contributors @szepeviktor made their first contribution in https://github.com/tesseract-ocr/tesseract/pull/4497 @stweil with @Copilot made their first contribution in https://github.com/tesseract-ocr/tesseract/pull/4506 @ppavacic made their first contribution in https://github.com/tesseract-ocr/tesseract/pull/4503 @Mohataseem89 made their first contribution in https://github.com/tesseract-ocr/tesseract/pull/4509 @markbus-ai made their first contribution in https://github.com/tesseract-ocr/tesseract/pull/4511 @eduardomozart made their first contribution in https://github.com/tesseract-ocr/tesseract/pull/4516 @gaurav0107 made their first contribution in https://github.com/tesseract-ocr/tesseract/pull/4563 @Ramya-9353 made their first contribution in https://github.com/tesseract-ocr/tesseract/pull/4576 Full Changelog: https://github.com/tesseract-ocr/tesseract/compare/5.5.2...5.5.3
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 | 0.016 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.007 | 0.007 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.413 | 0.514 |
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".