Modelling the effect of preharvest climate conditions on the incidence of two postharvest physiological disorders of "Honeycrisp" apple
Bibliographic record
Abstract
'Honeycrisp', a new apple cultivar, has high susceptibility to physiological disorders, including soft scald (SS) and soggy breakdown (SB). An important factor inducing these disorders is cool weather conditions at the end of the growing season. 'Honeycrisp' apples were harvested in Ontario (three sites), Québec (two sites) and in Nova Scotia (one site), in 2009 and 2010, in addition to data from Ontario (four sites), from 2002 to 2006. Analyses were made to link fruit quality to the weather at each site. A combination of dry conditions (for phenological stages BBCH 71-75), and cool conditions (BBCH 65-71 and 77.5-80) increased SS susceptibility. A combination of cool and wet conditions (BBCH 77.5-80) increased SB susceptibility. Models were developed for SS (RMSE = 18.71) and SB (RMSE = 6.88) predictions. Producers could use these in establishing more appropriate management of fresh fruit loads depending on regional and seasonal susceptibility to these disorders.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".