Animating the escape response of the sea anemone, Stomphia coccinea from the starfish, Dermasterins imbricata modeled using implicit surfaces
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
Many of the most interesting simulations in the biological world have to do with interactions between species. The predator-prey interactions among aquatic organisms are an interesting part of the natural world which has not been seen much in computer animation. This paper explores the interaction between various sea anemones and the starfish Dermasterias imbricata. Although a simulation between a specific sea anemone, Stomphia coccinea to Dermasterias imbricata was created, an approach was taken such that different anemones with minor parameter changes can be used to replace Stomphia coccinea. The animation was created using a parametric key-frame approach using tracks and a hierarchical procedural implicit modeling method. The anemone and starfish were modeled using the Blob-Tree. Using a hierarchical construction, the model is refined locally and deformed globally at arbitrary layers while maintaining the consistency and integrity of surface details. A hierarchy of tracks was used to control the object's motion.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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