The Influence of Food Service Quality and Innovation Production on Local Product of Thailand: Study of Creative Agriculture
Bibliographic record
Abstract
Creative agriculture is a vast and deep knowledge of a product from its preparation from raw material to the end consumer of the product. Hence creative agriculture deals with deep analysis, production process, and commercialization, of a product. The present study explored the relationship between food service quality, innovation in production, customers’ satisfaction, and local product promotion. Both the foodservice quality and innovation in production increase customer satisfaction and local product promotion. An increased level of customer satisfaction is also promising for the increment in local product promotion. A survey from 300 food engineers working with different food providing companies, were the respondents of the present study for the collection of primary data. Then, a statistical software, named Partial Least Square (PLS) was used for the finalization of the data analysis process. The results achieved from the data analysis were used for the accomplishment of the end results of the present study.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".