Use of Blockchain Technology as a Prospect Element of Management in Product Traceability Systems
Bibliographic record
Abstract
Blockchain technology in recent years becomes more and more popular and up-to-date theme in the world.The main issues on the functioning of the blockchain technology and the importance of introducing of products traceability systems on its basis are investigated.Blockchain is a distributed database whose essence is a constantly increased amount of counterfeiting with appropriate digital data encryption systems.The deployment and use of blockchain technology allows the final consumer of any food product to be convinced of the safety of the product, have information on the place of origin of the product, information about the passage of goods through all stages of the expanded reproduction cycle, preventing the forgery of products.For interested persons, in particular stakeholders and regulators, the deployment of this technology will allow to find weak links in logistics processes, to improve funding, to constantly improve the quality control system, monitor the highlights on compliance with legislative and certification requirements.Thus, this will improve the work of agricultural producers, as it will exclude from the supply chain of false and unnecessary intermediaries and will promote better sales of products.From the positions of investors, blockchain technology are also interesting, because it helps to provide transparency of all stages of business processes, as well as to have a perspective vision of export opportunities for individual participants and the agrarian industry in general.The main attention of the research is emphasized on the need to use agricultural and other products traceability systems in the supply chain, which should be based on the use of blockchain technology.The tracking of food products, in case of its deployment, will increase the effectiveness of transactions, reducing their bureaucratization and increase the margin of production within the entire supply chain.The importance of the influence of digital transformation processes into the agrarian sector of the economy as an important stage of the new innovation development of our country is emphasized.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".