Studies on the Growth-development Law and Suitable Period for Harvesting of Pinellia ternata (Thunb)Breit
Why this work is in the frame
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Bibliographic record
Abstract
Objective: Find out the growth-development law of P. ternata, and offer references for suitable period for harvesting and standardized cultural technique. Methods: Periodic sampling, investigation and measurement; Results: Dynamic change of each growth index all show a similar rule, namely that with the elongation of growth-development course, it was characterized an “S” type curve, and peak values are observed during the first “inverted seedlings” period. Especially, average drying rate of tubers during the first “inverted seedlings” period is significantly higher than that during the second period. Conclusions: Initial stage of the first “inverted seedlings” is quite suitable period for harvesting of P. ternata, and thus its utilization value is further efficaciously enhanced.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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 it