A sustainable requalification of bracciano lake waterfront in Trevignano Romano
Bibliographic record
Abstract
This paper describes the first interventions carried out in accordance with the results of the three years bilateral research SoURCE (Sustainable Urban Cell) performed by CITERA (Inter department Centre for Territory, Building, Conservation and Environment) of the Sapienza University of Rome and the Department of Urban Planning and Environment of the Royal Institute of Technology of Stockholm (KTH) regarding urban redevelopment and distributed micro-generation of buildings. The location is the municipality of Trevignano Romano in the area (urban cell) of the lake waterfront aimed at the integration of all facilities that will increase the tourist accommodation of the area. The concept of the project is to utilize empty spaces, in all lake waterfronts, for the construction of public toilets and showers, introduction of electric boat and bike rental for sightseeing with charging stations and construction of an energy efficient wooden prefabricated building to be used as a general shop for tourists (closest analogue service is about 3 km). The research is included in the executive programme for the scientific and technical cooperation between the Kingdom of Sweden and the Republic of Italy, in the area defined ‘Energy and Environment: Sustainable Cities’.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".