Managing health supply chain using blockchain technology: state of art challenges and solution
Bibliographic record
Abstract
The COVID-19 flare-up in late 2019 caused a worldwide medical crisis. In a littlemore than a quarter of a year, the quantity of COVID new cases has risen to in excessof 1,000,000 around the world.The fast transmission of the infection prompts newcases to be accounted for all around the world constantly. At the same time, mortalityrate and contaminations keep on rising rapidly. Therefore, the COVID-19 pandemichas led to the implementation of lockdowns and social distancing rules that negativelyimpact global economies. It has upturned many challenges which are mentioned inthis paper,we proposed a solution to these major problems, blockchain technology canplay a vital role in closing maximum escape clauses in the present system to improvevisibility and traceability and to provide a clear far vision for the stakeholders presentin pharmaceutical industry.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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 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".