Synthetic Animated Mouse (SAM), University of British Columbia, Datasets and 3D-models
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
3D virtual mouse-body generates synthetic training data for behavioral analysis Luis A. Bolaños1,2†, Dongsheng Xiao1,2†, Nancy L. Ford4, Jeff M. LeDue1,2, Pankaj K. Gupta1,2, Carlos Doebeli1,2, Hao Hu1,2, Helge Rhodin3, and Timothy H. Murphy1,2* 1Department of Psychiatry; 2 Djavad Mowafaghian Centre for Brain Health; 3Department of Computer Science; 4Centre for High-Throughput Phenogenomics, Department of Oral Biological and Medical Sciences University of British Columbia, Vancouver, British Columbia, Canada, V6T 1Z3
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.018 |
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