Bibliographic record
Abstract
Cryptocurrency (e.g., Ethereum and its currency Ether) presents an opportunity to completely change the way money is transacted, which perhaps even redefines the money. On this basis, this paper will investigate and discuss the basic principles and corresponding applications of Ethereum. As a matter of fact, operating on a decentralized platform while also using the global reach of the internet, transactions can be made with little cost, without interference of intermediaries and government intervention. Besides, it will keep the personal information of the user private. In addition, according to the analysis, each user can define how they use ether as they please, e.g., using Ethereum to store assets like art and reselling them through Ethereum. However, Ethereum still has many issues to fix ranging from security risks, privacy risks, and perceived stability due to Ethereum’s notorious volatility and previous illegal activities from other platforms (e.g., Bitcoin). More research is required to distinguish whether Ether can be a viable alternative that could be added to the economy or even completely replacing traditional money altogether and address the current concerns. These results shed light on guiding further exploration of cryptocurrency.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| 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".