Relationship between Factors of Output Constitution and Length of Main Ear and Distribution of Biomass for Castor
Bibliographic record
Abstract
The field test results showed that the different length of main ear is different in grain weight and number of capsule in castor.The number of capsule and grain weight were high when the length of main ear is 61～70 cm,and middle when 71～80 cm,and low when 51～60 cm and 41～50, But HKW is not significant.When under different length of main ear the grain weight and grain number of branch is also different,which 41～50 cm is biggest and 61～70 cm is smallest.The proportion of vegetation is higher than of seed in distribution of biomass.Some mathematics models were established between grain weight and weight of root,grain weight and weight of stem and leaf, weight of stem and leaf and weight of root,biomass and weight of root.Those models were good for further to study their relationship.
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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".