Bibliographic record
Abstract
This paper aims to find a way to form a port cluster with rational development. Based on demand-supply balance, Game Theory was used to analyze the mechanism of decision-making of port construction investment. Under the hypothesis of information symmetry, and a duopoly market, we established both a static game model and an extensive game model with perfect information to analyze the decision-making process, while the object is to maximize each port's investment profit under individual rationality. Besides, the paper introduced a dummy variable to describe the influence of local financial supports. The outcome shows that both players prefer to invest for new constructions, no matter they make decisions simultaneously or not. And it can also be extended to multi-players. In the end, we made a Pareto improvement by setting up a cooperation mechanism. The results indicate that the collective rationality of port construction investment can be achieved by setting up a binding agreement among regional ports, such as co-investment, joint-stock operation and dock purchase, while each player's profit could be improved.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".