Assessment and Physico-Chemical Characterization of Fruits from Different Tucuma Palm Tree Accesses for Keeping Their Preservation in Central Amazonia
Bibliographic record
Abstract
The Fruit from the Amazonian tucuma tree (Astrocaryum aculeatum Meyer) is almost entirely randomly extracted and thus, it holds a wide genetic variability, which diminishes its evenness besides several characteristics like pleasant flavor and thick pulp so appreciated when it comes to be consumed by humans. This fact is associated to the reproductive system, since it is a cross-pollinating plant. The present work assessed nine tucuma fruit accesses in Manaus, BR-174, Rio Preto da Eva and Vila do Equador, Rorainópolis Township, following the producers’ fruit preference indication. Simple correlation analysis indicates lipid content to be independent from the assessed characters, since it correlated to none of them. Therefore, the population formed from the selected accesses (BR 174, Jundiá 1, Manaus 1, Manaus 2), based on flavor, pulp thickness, yield and lipid content, will have a great chance of obtaining more uniform fruits that will please the consumers’ taste.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".