Color Analysis on Indonesia Top e-Commerce
Bibliographic record
Abstract
The e-commerce usage is a must in the business industry; think more complex problems that require to always keeping up with the global developments which requires to taking a creative action. Statista reported (data.tempo.co) regarding data on the top 10 most visited Indonesia e-commerce sites, Shopee ranks first with 71.53 million clicks per month in the first quarter of 2020. Tokopedia is in the second place with 69 million clicks per month during the first quarter of 2020. The color identity usage in e-commerce has a strong perception in the brand image forming. In e-commerce, the color psychology usage is the one of supports to attract attention, selling products early, raise offer, build messages and product images, and showing identity. Color is universal languages that cross the cultural boundaries in technology which is currently called the global village. This study aims to provide an understanding of the color benefits in the brand identity form which is applied through e-commerce displays.
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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 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".