Bibliographic record
Abstract
Energy recovered from wind farms is becoming very popular in North America.However, the environmental impact of large wind farms is still under study and regulations are being fine-tuned to alleviate the impacts.Noise is perceived to be a major environmental concern o f wind farms.The overall characteristics o f wind farms and its noise potential will be discussed in this short review paper through a case study.Appropriate regulatory guidelines will be applied and the noise impact o f wind farms are assessed and discussed in this paper. RSUML'nergie rcupre des centrales d 'oliennes devient de plus en plus populaire en Amrique du Nord.De plus, l 'impact environnemental des grandes centrales d 'oliennes est sous tude et les rglementations vont tre raffines afin d 'attnuer les impacts.Le bruit est la principale inquitude environnementale concernant les centrales d 'oliennes.L'ensemble des caractristiques des centrales d 'oliennes et leur bruit potentiel seront traits dans ce bref compte-rendu, et ce, par l'entremise d 'une tude de cas.Des lignes directrices rglementaires appropries seront appliques et l 'impact du bruit des centrales d 'oliennes sera valu et trait dans le prsent article.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".