Approach of Vertical Cutting Method of Flue-cured Tobacco by Near Infrared Spectroscopy
Bibliographic record
Abstract
For exploring vertical cutting method of flue-cured tobacco,three grades of Yuxi K326 and Kunming Hongda flue-cured tobacco leaves were cut into 12 parts in approximate equal areas,then the near infrared spectroscopy of the different cutting parts were measured.Principal Component Analysis(PCA) and Hierarchical cluster analysis(HCA) based on the near infrared spectroscopy of different cutting parts were also completed.The results showed that:(1) PCA showed that vertical cutting parts can be divided into several categories,but required the naked eye to judge,and had a certain degree of subjectivity.(2) HCA showed that 12 cutting parts of different grades of Yuxi K326 and Kunming Hongda could also be divided into two categories.And part of 12A(near the leaf base side) being the first class in three grades of Kunming Hongda.Three grades of Yuxi K326 were slightly different,but also the parts of near the leaf base side were the first class.(3) Obtained results were suggested that,for Yuxi K326 and Kunming Hongda flue-cured tobacco leaves,part of about 9-25 percent tobacco area(about 15-30 percent tobacco length) near the leaf base could be cut and then roasted independently.New cutting method and theoretical supports for new cutting and roasting technology were provided.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".