Dynamics and phases of kiwifruit ( <i>Actinidia deliciosa</i> ) growth curves
Why this work is in the frame
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Bibliographic record
Abstract
Abstract We construct a parametric “growth curve”, the average fruit weight versus days since mid bloom, for kiwifruit ( Actinidia deliciosa ). The growth curve takes the form of a double sigmoid multiplied by a “shrinkage curve” (to represent late shrinkage of fruit on the vine before harvest) and the parameters have been fitted satisfactorily to data from four growing seasons, three sites and two treatments. The structure of the curve allows for the estimation of a “change point” at which the acceleration of the fruit weight is minimised. The fruit size at harvest is then shown to be partially determined by the timing of the change point and the fruit weight at that time. The timing of the change point is dependent on the average temperature during the period of rapid initial growth. These results have a potential application in the prediction of mean harvest fruit weight, using information available at an earlier time in the growing season.
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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 | 0.000 | 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 it