Modelagem matemática das curvas de secagem de grãos de feijão carioca - DOI:10.5039/agraria.v11i3a5377
Bibliographic record
Abstract
This work aims to characterize the kinetics of the drying process of Carioca, BRS Estilo and Canadense beans, to adjust different mathematical models. The product has undergone a drying process in an oven at temperatures of 35, 55 and 65oC. Samples were placed in metal trays with grille fund, in three repetitions. During the drying process, trays with samples were weighed periodically until it reached the constant mass. The collected data were adjusted according to mathematical models provided by Statistica 12.0 software, and parameters to select the best model were: the adjusted coefficient of determination, the average relative error, and the estimated average error. The time required for BRS Estilo achieve constant mass was 58.33, 48.83 and 21.58 h at temperatures of 35, 55 and 65°C, respectively, The mathematical Midilli model was recommended for modeling the drying process at temperatures of 35, 55 and 65°C, respectively, and the mathematical model Midilli of two terms was recommended at temperature of 55°C. The time required by Canadiens to achieve hygroscopic equilibrium was 57.42, 46.00 and 20.91 h on 35, 55 and 65°C, respectively, the most recommended mathematical model at 35°C was the Midilli and model for the temperatures of 55 and 65oC the Thompson model.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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; both teacher heads agree on what is shown here.
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".