Compliance Protocol for Wind Turbine Noise Guideline for Acoustic Assessment and MeasurementCompliance Protocol for Wind Turbine Noise Guideline for Acoustic Assessment and Measurement
Bibliographic record
Abstract
The MOE is committed to ensuring that its policies and protocols regarding wind farms continue to reflect current science. Should new information come to light, we will review and amend our policies and protocols as required. All requirements relating to Renewable Energy Approval (REA) applications and renewable energy projects are contained in Part V.0.1 of the Environmental Protection Act and O. Reg. 359/09 which can be found at Ontario’s e-laws website at www.e-laws.gov.on.ca or the official volumes printed by Publications Ontario for the authoritative text. Specific references to the Noise Guidelines for Wind Farms (2008) are made throughout this protocol and readers are recommended to have access to a copy of the guideline itself to refer to the exact language when reading. Cette publication hautement spécialisée n’est disponible qu’en anglais en vertu du règlement 671/92, qui en exempte l’application de la Loi sur les services en français. Pour obtenir de l’aide en français, veuillez communiquer avec le ministère de l’Environnement au 416-314-8273. Ministry of the Environment Public Information Centre:
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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 | 0.074 | 0.176 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.012 | 0.011 |
| Insufficient payload (model declined to judge) | 0.133 | 0.059 |
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".