Bibliographic record
Abstract
This is the version 0.3.2 upload for the Digital Open Modular Urban System (DOMUS) 3d asset pack. Wiki is available at https://github.com/WolfclawProductions/DOMUS. New to this version: Additional decorative doors. Added new trims. Thermololia Counters. Ovens. Impluvia. This is the "lite" version, provided with minimal textures as even high-end machine struggle to open the full file. Please place a request should you require the full version. You can find additional creative commons textures via the BlenderKit addon. The models and textures in this pack are based on Ancient Roman Architecture. DOMUS is an ongoing project undertaken by Noah Chapman, PhD student at UCL Institute of Archaeology. The initial funding for the project was provided under the Univerity of Toronto's CRANE project. This project is also affiliated with Carleton University's X-Lab Digital Humanities research group. A paper on the applications and theory of DOMUS is pending.
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 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.440 | 0.091 |
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; both teacher heads agree on what is shown here.
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".