Lift-off type Pu'er tea fermentation pot's design and automatic control research
Bibliographic record
Abstract
The traditional Pu'er tea fermentation is uses the man-power to moisten naturally in the workshop piles the fermentation, this fermentation way cannot guarantee that in the Pu'er tea fermentative process the humidity uniformity, produces the workshop and the Fermentation plant to the Pu'er tea carries on the design and the research, the microorganism technology, the machine-finishing technology and the electric control technology merges into one organic whole, causes the Pu'er tea the production standardization, and has the scientific nature. The Pu'er tea fermented the clear purification workshop to unify the technology which the tradition fermented, used modernized the examination control technology and the equipment, by humidity sensor, PLC master control equipment, computer constitutions and so on processing system, Canadian wet equipment and supervisory system. This article through constructs the Pu'er tea to ferment the clear purification workshop, carries on the control to the workshop ambient humidity, causes the Pu'er tea to be stable in fermentative process environment, and has carried on the production testing under this kind of environment, obtains the experimental correlation data and carries on processing, discovers the Pu'er tea fermentation humidity from the tentative data to form the influence to the Pu'er tea quality some rules, ferments the formalization production for the Pu'er tea to provide the corresponding scientific parameter.
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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".