Bibliographic record
Abstract
December 31,2019 The infectious disease caused by the virus “Corona virus” from Wuhan, China, proved to be an international disaster. Along with the World Health organization, health experts and analysts have lost many of its apparent causes, such as the food and drink of forbidden animals, lab viruses, etc. But when a global disaster strikes, it is a form of divine punishment or trial that. The purpose of God is to discipline mankind. The principle of warning mentioned in the Qur’an is a proof of this. Probably they will come back” Among the spiritual causes virus, obscenity and nudity, disregard for Islamic law of purification, lack of religious inclination…are noteworthy. It’s a principle of nature that every accident, calamity precedes both positive and negative effects. Allah clearly asserts in (Al-Sajdah:21)” And of course We will make them taste a small torment in this world before the Hereafter. Perhaps they will return” Deviation from laws, lack of religious inclination…are noteworthy. It’s a principle of nature that every accident calamity is a precursor to both positive and negative effects. Similarly among the positive effects, religious tendency, spirit of mutual aid and benevolence, research and discovery in medicine, promotion of online system…Therefore, in this article, in the light of Islamic teachings, their analytical study will be presented so that accuracy in actions and deeds is possible:
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.980 | 0.931 |
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; both teacher heads agree on what is shown here.
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".