A Case Study on the University of Calgary EEEL Building Large Diameter Earth Tube System
Bibliographic record
Abstract
Building heating, ventilation and air conditioning (HVAC) systems use large amounts of energy. Finding ways to lower that could lead to notable energy savings and reduced emissions. Earth tube (ET) systems preheat/precool ambient air by directing it through the ground to exploit the relatively stable subsurface temperatures. The technology has been applied in several countries in North America, Europe and Asia. A 1.2 m inner diameter two-duct ET system at the University of Calgary was studied. The temperature in soil surrounding the ducts was monitored for twenty months. Data were collected and analyzed to evaluate the temperature change of soil surrounding the ducts. It was initially planned to determine if there is a net drawdown of heat in surrounding ground in very cold climates, or if the heat is largely replenished by inflow. However, due to the reverse airflow problem in the south duct, the research was limited to the stabilization of soil remote from the building effect.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".