Bibliographic record
Abstract
Abstract Olive oil is a natural juice obtained by mechanical or physical means from the fruit of the tree Olea europaea L. Many historians believe that the olive cultivation began during the Palaeolithic and Neolithic periods (5000–3500 bce ). Most of the world's olive trees grow in the Mediterranean Basin. Olive oil has always been an important component in the diet of Mediterranean people, but in the past years this oil has become more popular among consumers in Northern Europe, the United States, Canada, and Australia. Olive oil quality depends mainly on the cultivar, microclimate, soil conditions, fruit health, and processing conditions. Several studies have confirmed that extra virgin olive oil (EVOO) helps to reduce oxidative stress, high blood pressure, obesity, fatty liver, and insulin resistance, diseases that are closely related to diabetes and coronary heart disease. This chapter focuses on the origin and history of olive tree, statistics of world production, and consumption of olive oil. It also deals with olive fruit processing, olive oil classification and categories, quality and purity criteria, olive oil components, olive oil analysis, deterioration, and adulteration. Phenolics and other minor functional compounds of olive oil are discussed in detail.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.106 | 0.058 |
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".