Effect of Genotype and Geographical Origin on Potato Properties (Physical and Sensory) for Authenticity Purposes
Bibliographic record
Abstract
This study was undertaken to determine the physicochemical and sensory characteristics of two potato cultivars (Spunta and Agria), cultivated in three geographical regions of Greece (Macedonia, Thessaly, Peloponnese). Multivariate analysis was applied to reveal relationships among various parameters and the effect of genotype and cultivated region. PCA showed specific sensory profile for the fresh tubers strongly depending on the potato cultivar. Similarly, implementation of PCA to the boiled potato tubers revealed concrete sensory profile for the geographical origin. The (CA) effectively grouped the physicochemical attributes, minerals and the sensory attributes related to taste, colour and odour. Application of (DA) both for cultivars and geographical regions disclosed that the most important parameters describing the overall acceptability were sweet taste, special taste and aftertaste persistence. In conclusion, the obtained information regarding the effect and interaction of cultivar and geographical region on potatoes quality could be potentially exploited for authenticity purposes.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".