Development of a Drink Type Infusion From Coffee Pulp (Arabia coffea) Lempira Variety of Honduras
Bibliographic record
Abstract
This work aimed to develop an infusion type beverage from Lempira coffee pulp for human consumption. Samples from the Honduran Coffee Institute IHCAFE were used. According to the results obtained from the sensory analysis, it was determined that 70.75% of the evaluators prefer the beverage made with mature grains, given that a balance in taste and acidity is obtained. As for the mass concentration of the packaged content, 60% of the universe of tasters prefer a concentration of 1.6 g of dried pulp per cup. Regarding the type of grinding of the grain, it was determined that 80% of the tasters prefer coarse grinding (701 to 900 µm), describing it as an extremely pleasant product in its flavor and color, with shades of Jamaica, tamarind and nuts. Checking that with this particle size there is a greater release of flavors and maintains a balance in terms of aromas, however in fine particles (350 to 500 µm), their fragrances stand out, but negatively affects their taste and the high sedimentation rate. Therefore, it was concluded that the quality of the infusion drink from coffee pulp is influenced by the type of grinding used for its preparation.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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".