Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 it