The Biofaçade as a Vertical Edible Landscape in High-Rise Buildings: A Review
Bibliographic record
Abstract
This paper reviews the potential of the biofacade as one of the Vertical Greenery Systems (VGS) for addressing issues of food security in the urban context. The emergence of the biofacade has led many scholars to conduct numerous studies on the benefits of greeneries integrated with the structure of the residential or office building. Besides reducing the temperature, a biofacade can be optimized as a ‘Vertical Edible Landscape’. The scarcity of landed green space in the urban environment serves to spur experts to initiate cultivation of edible plants on high-rise buildings. Transitional or buffer space is a space with lower economic value. Regardless of that fact, the presence of transitional space is important and can be optimized as a green space. The review concludes there are many factors entailed that need to be examined in growing edible plants on high-rise buildings. Those factors comprise plant type, the prevailing climatic conditions on the high-rise building, maintenance, and pest control issue...
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".