Estimates of Learning by Doing in the Manufacture of Electric Power Gas Turbines
Bibliographic record
Abstract
This paper investigates LBO in prices and heat rates of gas turbines. We test whether the LBO spills over from production experience with smaller units. Progress ratios range from 0.83 to 0.95 for price and 0.89 to 0.94 for the heat rate. We do not find that learning spills over from the smaller size class. Since lower heat rates have an upward effect on price, the two learning effects offset one another so that the reduced form of experience on price is not significantly different from zero. The net result is that LBO has a large effect, but does not result in lower prices per se. The effects of cumulative experience are simultaneous increases in the performance, which tends to increase the value hence the price, and reductions in production costs, which allow the better unit to be sold for roughly the same price as the newer unit.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".