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Record W7131921377

Yield Capital: Evaluating Investment Opportunities in the Hydrogen Energy Industry

2023· other· W7131921377 on OpenAlexaff
Yu 张宇, 李小轩

Bibliographic record

VenueCEIBS Institutional Repository · 2023
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsYield (engineering)Investment (military)Energy (signal processing)Production (economics)Energy consumption
DOInot available

Abstract

fetched live from OpenAlex

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。

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.767
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.004
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0010.002

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.

Opus teacher head0.137
GPT teacher head0.308
Teacher spread0.171 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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