Research on Trust Mechanism based on Delegation Relationship in Sharing Economy
Why this work is in the frame
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Bibliographic record
Abstract
Trust plays a very important role in the development of sharing economy. What’s more, delegation is taken one of evaluation factors as service trust computation. However, the sharing economy based on the delegation also brings security risk. Therefore, this paper proposes a novel trust mechanism based on delegation relationship. Firstly, the paper analyzes a variety of deception which exists in the delegation relationship, then puts forward the concept of the transaction evidence and commission evidence. Secondly, by combining these two kinds of evidence, a novel method is presented. It improves computing trust value algorithm in the commission relationship by applying the evidence theory from three aspects characteristics, relevance evaluation information of evidence and user trust degree. At last, the trust mechanism is established on account of the commission relationship. The effectiveness of this trust mechanism is testified through simulation & emulation experiments.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 it