Bibliographic record
Abstract
Energy-wise houses in Järinge - technical follow-up The company JM built energy-efficient houses in Tensta in Stockholm. They have built a total of 16 houses divided into two parts of A-houses and B-houses. The buildings are an attempt by JM to minimize energy-use of the buildings without affecting the comfort and living standards. The project aims to examine the data for the 16 houses on the basis of data and produce a report showing how the buildings worked through a technical perspective. JM approximates that the purchased energy will not be higher than 95 kWh/m2 per year. Data-reading has been done every hour. After the period, we received data in two different Excel files. We have then created images of data in a matlab program. Our results for the first quarter of 2008 demonstrated that A-houses have an average of about 27 kWh/m² excluding domestic electricity and about 38 kh/m² including domestic electricity. The climate during winter requires a larger indoor heating because of the cold climate outdoors, and therefore the energy consumed in that period will be greater. If we see our results as a quarter of the total, the houses are likely to meet the requirement.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.018 |
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".