Bibliographic record
Abstract
Abstract Autoclaved aerated concrete (AAC) has failed to gain a foothold in the North American construction market despite its popularity in Europe. In North America the most common wall construction technology with a stucco finish, except in certain niche markets, is the exterior insulation finish system (EIFS). Because of the limitations of EIFS, a wall assembly technology has been developed that marries frame construction of all types with 75 mm thick AAC blocks and medium‐density sprayfoam polyurethane insulation. This composite technology allows more rapid assembly and higher performance than conventional AAC block construction. The completed stucco‐finished wall has much higher thermal resistance, load and shear strength, water and vapor resistance, and acoustical performance than single‐wythe AAC block construction. In North America, where AAC is used very little, this technology will allow much broader acceptance as even more benefits will be realized over prevailing technologies. This technology, known as System5zero, has two patents in the United States and is approaching commercialization. This paper and presentation will discuss development, testing, benefits, and applications of System5zero.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".