Bibliographic record
Abstract
Abstract Pecan (Carya illinoensis) is heterodicogamous, which often leads to unstable yield of its nut crops. Relating pecan orchard management to the phenological stage of the trees is the key to increasing yields; however, describing morphology alone does not lead to an orchard management system that is simple and practical. In this work, we extend the BBCH (Biologische Bundesanstalt, Bundessortenamt und Chemische Industrie) coding method to describe the morphology of the protogynous Mahan pecan cultivar over two consecutive years in southern China. Eight main growth stages, from vegetative bud dormancy to fruit harvest, were described and each phenological period was photographed. Pecan orchard management activities were listed for each stage in pecan BBCH scale to allow orchard managers to better manage their trees. This codification will facilitate breeding, conservation of genetic resources and general orchard management of this commercial crop. As well, recording the dates of various morphological stages over time will allow the influence of global climate change on pecan development to be tracked.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".