Technology Entrepreneurship (ENT600) l-Jeans Box / Muhammad Syafiq Safiee … [et al.]
Bibliographic record
Abstract
The team is developing the "l-Jeans Box" for the jeans and denim users to prevent the jeans fabric from pre-shrunk when it is being washed and prevent the loss of colour also removes the dirt. Based on the research conducted in 2011 that has been made by professor Rachel McQueen from University of Alberta has proved that the jeans wore for 15 months straight without washing them do not pose any health risks for healthy people. They tested them for bacteria and found levels of bacteria were pretty normal. However, then they wore them for 13 days before retesting them, bacteria levels were nearly identical. Jeans are very popular of casual dress around the world either for men or women. They come in many styles and colors and made up from denim cloth. Jeans have high durability and more expensive if compared with other common fabrics that required proper care and wear.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.194 | 0.055 |
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".