Yield Capital: Evaluating Investment Opportunities in the Hydrogen Energy Industry
Bibliographic record
Abstract
本案例立足于全球原始创新能力与科技产业化机制不断加强的背景下，聚焦快速发展的氢能产业，描述了水木易德投资管理合伙企业（以下简称“易德投资”）从建立的初衷，到此后在氢能交通、精准医疗、新型材料、数据信息四大赛道的逐步布局的历程。随着“碳中和”成为中国产业发展与经济转型主题下最热门的话题，易德投资依托清华工研院的前瞻战略视野，在资本竞相追逐的初期就已悄然完成了对氢能产业链最核心环节与最头部项目的精准投资布局，不仅支持开发氢燃料电池车、氢能供应产业链的核心技术产品，还积极协同产业链企业为京东、菜鸟等头部物流平台在物流交通应用场景应用端开发定制提供完整解决方案。然而，面对中国氢能基础研究起步晚、积累少的情况，氢能产业链的经济价值暂时无法实现突破，易德投资应当如何促进国内氢能的规模化商业化运用仍充满了挑战与困难。
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".