HCFMRP Sacroiliitis (v1)
Bibliographic record
Abstract
Dataset composed of magnetic resonance imaging (MRI) of the sacroiliac joints of 48 patients from the Ribeirão Preto Medical School of University of São Paulo (Brazil). The selected patients are represented in 51 studies, 99 series and 594 images in the DICOM protocol, all anonymized. For each DICOM series, 6 consecutive images (slices) of the sacroiliac joints were obtained in the coronal plane, which were evaluated according to the Spondyloarthritis Research Consortium of Canada (SPARCC) MRI diagnostic criteria. Each DICOM image is accompanied by a PSD file containing the original image and a segmentation mask in PNG format. The masks indicate the location of the sacroiliac joints. The dataset contains, therefore, 1782 image files. The files are organized into two main directories, STIR and SPAIR, representing the two fat-saturated MRI techniques we adopted for this study. Each of them is subdivided into "Positive" and "Negative", indicating whether there are findings compatible with sacroiliitis. For more information, contact us: https://mainlab.fmrp.usp.br/
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.023 |
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".