Bibliographic record
Abstract
Welcome to my Paisley Mills design proposal. Paisley Mills is located in Paisley Ontario just outside of town, along the Teeswater River. In my design, I wanted to keep the heritage look of the old mill by leaving as much of the existing wall as possible. Given that the Mill is outside of town on its own, I wanted to create multiple areas that look out and allow visitors to enjoy the scenery. I was able to accomplish this by adding a front and rear patio area to the Mill as well as adding a feature staircase to the outside with a 270 degree view.\nWhat's Been Added? Well we are glad you asked! In this new rendition of the Mill we have added multiple functional areas for not only for the residents, but also for the surrounding community. On the main floor we have a Kitchen / Café with an indoor and outdoor dining area. On the second floor we have added a Banquet Hall along with a seating area where residents will have a social space separate from the Dining area. Lastly, on the third floor, we have a state of the art Gym with change rooms for members who are not staying at the Mill.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.331 | 0.149 |
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; the direct Gemma label and the distilled Codex classifier 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".