Nutrient Content of the Invasive Arapaima gigas (Osteoglossiformes) in Bolivia
Bibliographic record
Abstract
The Paiche or Paichi (tentatively identified as Arapaima gigas) is an introduced species and one of the most important fisheries resources in Bolivia. Its meat has characteristics that have facilitated its commercialization in the main cities of the country. The objective of this work was to describe the nutritional quality of its meat sold in the city of Riberalta (Beni), the main supplier of Paiche meat to inland markets. Tissue samples were collected from the dorsal, abdominal and caudal areas (n=3; 800 g) from three medium-sized specimens (81.6 cm average total length, aproximately 8 kg). Results showed that Paiche meat is rich in proteins (20%), but low in total fats and carbohydrates (0.81 and 0.67%, respectively). The fat-soluble and water-soluble vitamins were low, with values less than 0.027 mg 100 g-1; except vitamin E (average 1.198 mg 100 g-1). Seven fatty acids were found in the abdominal portion, five in the dorsal portion, and none in the caudal portion. Linoleic Acid (Omega 6) was found only in the abdomen. Its regular consumption in the diet is recommended. Studies are needed to see how nutritional value is affected by food preparation for consumption and to assess mercury content.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".