HingeSlicer: interactive exploration of volume images using extended 3D slice plane widgets
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Figure 1: Hinged slice plane widget used to examine an MR volume image of the brain. We present a 3D interaction model for exploring volume image data by extending the capabilities of 3D slice plane widgets. Our model provides the ability to navigate through a volume image in a fast, intuitive manner, using object-relative user navigation. Employ-ing a cut-fold-slide analogy, 3D slice plane widgets are rotated and translated relative to each other. The planes can be progressively cut to extend existing views and form staircase-like arrangements, minimizing occlusion and visual clutter problems that result from multiple, disconnected slice planes. Extending existing views also allows cutting actions to be easily “mended”, providing users with the ability to return to a previous “good ” view and explore again. A user makes cuts by drawing “hinge ” lines on a slice plane widget, in any orientation, dividing the slice plane into two pieces. These pieces can fold (rotate) around the hinge line or slide (translate) with respect to each other, allowing the user to retain a better con-textual understanding of the 3D spatial relationships between struc-tures and of 3D structure shape.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it