Analysis on Technology Competitiveness in Fuel Cell Field
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Fuel cell is an environment-friendly renewable energy source.Major countries that are trying to diversify their power supply are expanding their technology development and efforts to spread the usage of fuel cell.In this study, the level of usage in each country was analyzed through technology competitiveness analysis on fuel cell.To analyze technology competitiveness, total four elements of influence, competitiveness, activity, and open innovation were considered.Influence was calculated using forward citation of applied patent, and competitiveness was calculated using the number of patent family.For open innovation, joint application network between countries was settled and analysis was made through degree centrality.In the result, besides MCFC field, USA was found to be the most competitive, while Japan and Korea were found to be relatively less competitive.When it was studied by a major element, USA had a high level of competitiveness and open innovation, and Canada had high level of influence.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it