IMPLEMENTATION OF THE NATIONAL HYDROGEN STRATEGY OF GERMANY – MAIN RESULTS OF 2022. PART 2
Bibliographic record
Abstract
In the first article, the tasks set within the framework of the National Hydrogen Strategy by the new government of Germany were analyzed. Their correlation with the updated goals of Brussels, enshrined in the REPowerEU program was analyzed. Important Projects of Common European Interest with the participation of German companies in the field of hydrogen production and transportation were considered. The second part examines the issues of interstate cooperation of the Federal Republic of Germany. Particular attention is paid to the agreements reached by the new coalition government with the United Arab Emirates, India and Canada, African states, emphasizing the role of bilateral chambers in supporting ongoing projects. The issues of scientific cooperation with other countries, primarily with Australia, the Netherlands and Namibia, are considered. The author analyzes the best entrepreneurial hydrogen practices in Germany, among which he highlights the initiatives of the RWE energy company, and assesses the prospects for further implementation of Germany’s plans to create national and European hydrogen markets, including an increase in its imports.
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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 | 0.003 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".