Contenido de oligoelementos y factores antinutricionales de hojas comestibles nativas de Mesoamérica
Bibliographic record
Abstract
Los oligoelementos son importantes constituyentes nutricionales de las hierbas comestibles. Se colectaron 11 especies, nueve nativas (Amaranthus hybridus, Cnidoscolus chayamansa, Crotalaria longirostrata, Dysphania ambrosioides, Lycianthes synanthera, Sechium edule, Solanum americanum, S. nigrescens, S. wendlandii) y dos extranjeras (Moringa oleifera, Spinacea oleracea) en dos regiones de Guatemala. Se prepararon muestras de la hierba seca, cocida y de caldo de hierba fresca. Se cuantificaron por espectrofotometría de absorción atómica los macro (N, P, K) y oligoelementos (Ca, Mg, Na, Cu, Zn, Mn), taninos por espectrofotometría y oxalatos por permanganimetría. El contenido de oligoelementos es diverso, para Zn, la hierba control S. oleracea contienen buena cantidad (90-140 ppm); de las nativas D. ambrosioides (130-160 ppm) y A. hybridus (70-80 ppm) tienen la mayor cantidad. Respecto a Fe las hierbas control tienen buena composición (S. oleracea, 220-280 ppm y M. oleifera, 105-135 ppm); de las nativas A. hybridus (90-240 ppm), C. aconitifolius (75-185 ppm) y L. synanthera (75-140 ppm) tienen las mayores concentraciones. Se encontraron niveles elevados de oxalatos en S. oleracea (67.30 (5.51) mg/g), L. synanthera (56.30 (9.67) mg/g) y S. nigrescens (33.6 (5.48) mg/g); en las demás hierbas se encontraron niveles menores. Los niveles de taninos fueron bajos (0.1-0.8 mg/g) para todas las especies. Se demuestra que cuatro especies nativas tienen un buen contenido de oligoelementos y presentan valores menores de antinutricionales que los controles
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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 | 0.000 | 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".