Environmental Impact Assessment and Investment under Uncertainty. An Application to Power Grid Interconnection
Bibliographic record
Abstract
Nous considérons une firme qui doit se soumettre à un processus réglementaire long et coûteux avant de réaliser un investissement irréversible. La valeur de cet investissement est aléatoire et un délai de mise en service est nécessaire. Nous analysons deux cas : l'approbation réglementaire est toujours valide ou elle a une durée finie. Nous appliquons notre modèle à un projet d'Hydro Québec : la construction d'une interconnexion de 1250 mégawatts avec l'Ontario. Nous montrons que la firme débute le processus réglementaire plus tôt si l'approbation réglementaire est suffisamment longue ou si l'incertitude est assez élevée; autrement elle le retarde. Ces décisions dépendent aussi de la durée de l'approbation réglementaire.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".