User's Guide: National Energy Code of Canada for Buildings 2017
Bibliographic record
Abstract
This is the third edition of the User's Guide – National Energy Code of Canada for Buildings (NECB). It is intended to complement the NECB 2017 and increase users' understanding of the Code's intent and application in the field; as such, it is not to be used as a standalone document. The User's Guide contains background information, explanatory material and, in some cases, suggested approaches to certain design or compliance matters, but does not contain mandatory requirements and is neither a textbook nor a design guide. The figures it contains are schematic only and the examples are illustrative only: they do not represent design recommendations. The User's Guide comprises commentaries on NECB Parts 3 to 8 but does not address each and every Article of the NECB: content was developed for subject areas that were deemed to require further explanation or detailed examples and calculations.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.144 | 0.124 |
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".