Bromatological Analysis, Chemical Composition and Bioassays from the Genipa americana L. (Rubiaceae)
Bibliographic record
Abstract
Genipa americana L. well known as genipap, is a tree that is widely distributed throughout the Brazilian territory. The communities appreciate the genipap fruits, since they are used as food; in addition to that, their fruits have numerous seeds that can be used in the production of vegetable oil. This being, in this work inclined to a bromatological study of the genipap fruits and chemical composition and bioassays from vegetable oil seeds. Obtaining the highest percentage of lipids in the seeds that was of 7.08%, the highest percentage of humidity obtained was 74.66% present in the pulp, the highest amount of carbohydrates was found in the seeds, with a percentage of 79.37%, the highest percentage of ash present was 3.99% found in the pulp, another parameter analyzed were the proteins mostly present in the seeds with a percentage of 4.45% and finally the energy value was calculated, being the majority in the seeds with 398.98 Kcal/100 g. The fatty acid profile showed the highest percentage for the Linoleic Acid with 61.5%. The greatest inhibition in the antimicrobial assays was for S. typhimurium with 42.12% inhibition. In the tests performed for the inhibition of the enzyme acetylcholinesterase was 14.95%.
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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 | 0.000 |
| 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".