Solar Power Generation:Technology,New Concepts & Policy
Bibliographic record
Abstract
This book offers a global perspective of the current state of affairs in the field of solar power engineering. In four parts, this well-researched volume informs about: \nEstablished solar PV (photovoltaic) technologies \nThird-generation PV technologies based on new materials with potential for low-cost large-scale production \nSolar cell technology based on new (third-generation) concepts, such as quantum dot solar cells and nano wire solar cells using silicon and compound semiconductors \nEconomic implications and effects, as well as policies and incentives in various countries of the world involved with solar energy implementation \nIn addition to discussing manufacturing facts and implementation issues, this book emphasizes the implications of policy measures in countries with good PV activity, such as Japan, China, India, Germany, Spain, France, Italy, the United States, and Canada. This volume is intended as a reference for a global audience of advanced students and R&D and industry professionals, as well as investors and policy-makers with fundamental knowledge of photovoltaic technology.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.008 |
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".