建设粤港澳大湾区创新产业集群的机遇与挑战（Building the Innovation-driven Industrial Cluster in the Greater Bay Area: Opportunities and Challenges）
Bibliographic record
Abstract
Chinese Abstract: 中文：随着《粤港澳大湾区发展规划纲要》的正式发布，粤港澳大湾区发展迎来新机遇。粤港澳大湾区的总体发展目标是将该区域打造成为世界第四大湾区以及世界级城市群。目前，大湾区内部发展仍面临创新驱动不足、产业布局不合理、中心- 边缘城市极化发展以及城市间同质化竞争等问题。粤港澳大湾区未来发展必须坚持开放与融合的区域制度创新之路，充分发挥产业协同优势，构建现代产业体系，优化创新生态环境和加强创新网络，打造出大湾区区域经济发展新模式。 English Abstract: Along with the launch of “Outline Development Plan for the Guangdong-Hong Kong-Macao Greater Bay Area”, the Greater Bay area is facing new opportunities of development. The main strategic goal of the development in this region is to create the fourth largest Bay Area economics in the world and the world-class metropolitan areas. However, the Greater Bay area still faces a number of problems, such as lack of innovation-driven factor, irrational strategies of industrial distribution, the polarization of “core-peripheral cities” and the homogenization of urban development. In order to explore a new mode of regional development, the future goal of the Greater Bay area has to insist on the innovation-driven path of development, to take advantage of industrial collaboration, and to strengthen the innovation system and networks.
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How this classification was reachedexpand
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".