Bibliographic record
Abstract
Anthocyanin is the pigment that develops in the skin of apples and produces the red color associated with some apple cultivars. Apples are dependent on light to develop anthocyanins. This is the reason why some apples develop leaf-like shapes in their pigment on the skin; the leaf excludes the light in its shape and the red color pigment doesn’t develop. Apple imprinting is a lightmanipulation technique used to produce an intentional design on the skin of apples. This technique is used in Japan where fruit can be a prized gift, and apples imprinted with special logos can bring a very high price. One orchard in western Canada imprints the logos of two competing hockey teams on apples to increase the value and obtain a considerable return on their investment. Iowa orchardists could create a valuable addition to their marketing strategies if they use apple imprinting techniques. The purpose of this study was to imprint apples with the goal of learning the process in Iowa with local apple cultivars.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".