Integrated Community Energy Modelling: Developing Map-Based Models to Support Energy and Emissions Planning in Canadian Communities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A new tool is presented in this article.The main objective is the improvement of the small and medium companies' energy management systems in order to obtain energy savings and the adaptation of the organizations according to the recognized standard UNE-EN 16001:2010.The application of the tool lets companies reduce their energy consumption and improve their processes in an energy efficiency perspective.The methodology is based in questionnaires and tests which will report information in order to identify all standard requirements.In a near future, the expected benefits are going to be a knowledge about the companies' EMS situation, information to prioritize actions to improve, identification of critical areas, comparison between different EMS evaluation results (for example: company' EMS with industry average, etc.), improve companies knowledge about energy, energy efficiency, etc.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it