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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".