Western Renewable Energy Zones, Phase 1: QRA Identification Technical Report
Bibliographic record
Abstract
This report describes the Western Renewable Energy Zones (WREZ) Initiative Phase 1 Qualified Resource Area identification process, including the identification and economic analysis of Qualified Resource Areas (QRAs) and 'non-REZ' resources. These data and analyses will assist the Western US in its renewable energy transmission planning goals. The economic analysis in this report produced the input data for the WREZ Generation and Transmission model, which is a screening-level model to determine the optimal routing for and cost of delivering renewable energy from QRAs to load centers throughout the Western Interconnection. In June 2009, the Western Governors' Association accepted the Western Governors' Association WREZ Phase 1 Report in which the QRAs were mapped and the entire WREZ Phase 1 process was explained in general. That same month the Lawrence Berkeley National Laboratory released the WREZ Generation and Transmission Model (GTM), which was also developed by Black & Veatch. This report details the assumptions and methodologies that were used to produce the maps and resource analyses in the WGA report as well as the economic data used by the WREZ GTM. This report also provides the results of the non-REZ resource analysis for the first time in the WREZ initiative.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.010 |
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".