Curbing it at the Source: Tehachapi Renewable Transmission Project—Segments 4-11
Bibliographic record
Abstract
The Tehachapi Renewable Transmission Project, Segments 4-11 is a series of new and upgraded transmission facilities from 69 kV to 500 kV equaling 250 miles (spanning an area of approximately 173 miles) with an estimated cost of $2.1 billion. Once complete, the project will deliver electricity from renewable wind energy generators in Kern County south through Los Angeles County and east to the existing Mira Loma Substation in Ontario, San Bernardino County. Virtually all transmission line materials were procured by SCE. Burns & McDonnell, operating in the role of Owner's Engineer was tasked with managing the material inspection contractor, Bureau Veritas, and their efforts at the suppliers' facility. This included inspections occurring simultaneously throughout the U.S. and into Mexico, Canada, and China on a very high-profile project. The paper will focus on the lessons learned and how the TRTP project benefited from transmission line material supplier inspections throughout the fabrication process.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.170 | 0.066 |
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".