Game Analysis between Banks and B2B Platforms in Agricultural Electronic Order Financing
Bibliographic record
Abstract
In recent years, agricultural electronic order financing has developed rapidly, and cooperation between banks and B2B platforms has become the main mode of operation. In the process of cooperation, there are moral hazards caused by information concealment. On the basis of analyzing the business characteristics and the behavior strategies of both sides, this paper discusses the cooperation mechanism between the two sides by using the game analysis method. The results show that the strategy choice of the banks and the B2B platforms is not only affected by the credit of financing customers, but also by the concealment cost and the concealment income. When the concealment cost is less than the concealment income, the profit distribution ratio and the default compensation ratio can be the key factors of affecting the strategy choice of the B2B platforms and the banks. When the concealment cost is greater than the concealment benefit, the change value of the income distribution caused by the different strategies has an important impact on the strategy choice of the banks.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".