CHANGES IN THE CHEMICAL QUALITY OF PINK PEPPER FRUITS DURING STORAGE
Bibliographic record
Abstract
Seafood is a food with high nutritional value and income of nutrients for innumerous world populations.However, seafood could accumulated contaminants and represented a consumption risk for healthy.Bioaccessibility is a tool that could be used to became the risk analysis more realist.The present study analyzed the concentration and bioaccessibility of Hg, Pb, Descrição Especificações Principais usos DORM-4* Fish Protein Reference Material for Trace Metals (NRC -Canada) Utilizado na determinação de elementos essenciais em peixes.*As = 6.87 ± 0.44 mg/kg; Cd = 0.299 ± 0.018 mg/kg; Ca = 2360 ± 140 mg/kg; Cr = 1.87 ± 0.18 mg/kg; Cu = 15.7 ± 0.46 mg/kg; Fe = 343 ± 20 mg/kg; Pb = 0.404 ± 0.062 mg/kg; Mg = 910 ± 80 mg/kg; Mn = 3.17 ± 0.26 mg/kg; Hg = 0.412 ± 0.036 mg/kg; K = 15 500 ± 1000 mg/kg; Se = 3.45 ± 0.40n = 51.6 ± 2.8 mg/kg; Metil Hg = 0.355 ± 0.028 mg/kg.Tabela 1.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".