Bibliographic record
Abstract
Charcoal is an active substance that is beneficial for health, now a trend is starting to be used as a mixture of processed food that adds aesthetics. Donuts are one of the processed products that are researched and have the opportunity to become a business among other products since the growth in business opportunities in The food and beverage sub-sector contributed more than one third of the GDP of the non-oil and gas manufacturing sector in the first Quarter of 2018, amounting to 35.39%, is the biggest contributor compared to other sectors. The charcoal donut has men and women between range 15 - 45 years, consumers who like sweet snacks, have a healthy lifestyle, and live in the Jabodetabek area become a potential targeted market. As counted, financial projection with total initial funding requirements and required working capital are Rp. 58,107,500 in total and projected profit in 2020 is estimated Rp. 21,646,000 and increased to Rp. 445,330,500 in 2024.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".