ENT 530 Social Media Portfolio: Thesalsstore / Nur Salsabila Jaafar
Bibliographic record
Abstract
Thesalsstore is an agent to the well-known brand which is Nilofa Group that serve banana milk as its first product, to the Malaysian market. There are variety of products that Thesalsstore provide but currently we are focusing to the Nilofa Dates and Banana Flavoured Milk as it is a new product from the founder named Noor Neelofa, which is special for Ramadhan month. Our store provide affordable price for each of the product and we have a great marketing which it helps to attract customer. At the moment, Thesalsstore only owned and run by Nur Salsabila Binti Jaafar. We have started our online business on the first quarter 2021 using Facebook social media platform. Our targeted customers can be stand by all stages of age include both genders. It can be a child, adult or even older as this product is suitable to consume by them. Thesalsstore marketing strategy emphasize the quality and price of our product and service. We offer affordable price to give a good and fantastic experience towards our customer. They can easily enjoy our product and service without having any doubt.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.601 | 0.554 |
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".