Independent Environmental Consultants (IEC): Noise and Vibration Services
Bibliographic record
Abstract
Independent Environmental Consultants (IEC) a été fondée en 2015 et opère à partir de Markham, en Ontario.L'entreprise a pour objectifs de fournir aux clients des conseils de haut niveau et des conseils stratégiques sur les nouvelles et sur les questions environnementales continue, au sein de l'échelle locale, régionale et cadre réglementaire national, et pour informer l'industrie, les gouvernements et les citoyens dans l'atténuation et la prévention de futurs accidents ou événements critiques.Paul Kirby est vice-président des Services environnementaux, et supervise l'équipe de bruit et vibrations au IEC.Paul a plus de 20 ans d'expérience dans la qualité de l'air, le bruit et les vibrations des évaluations et la délivrance de permis.Nicholas Shinbin est le responsable technique pour l'équipe de bruit et de vibrations à la CEI, et a plus de 13 ans d'expérience dans la préparation de la qualité de l'air, le bruit et les vibrations des évaluations.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.168 | 0.022 |
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".