Physicochemical, Cooking Characteristics and Textural Properties of TOX 3145 Milled Rice
Bibliographic record
Abstract
Quality of rice is an important criterion for the choice and demand by rice consumers and it is determined by physicochemical parameters. The objective of this research was to screen the physical, gelatinization, cooking and textural properties of an improved rice variety cultivated in Cameroon (TOX 3145). Three differently processed samples of TOX 3145: non-parboiled (NP), traditional parboiled (TP) and IRAD parboiled (IRAD) were involved in this study. The result revealed the grain dimension of samples as long and slender shape. The degree of redness among cooked and uncooked grains varied from -0.8 to -1.0 and 0.3 to 1.5, respectively while yellowness parameter ranged between 0.4 to 4.0 and 7.6 to 8.4, respectively. Lightness parameter (L*) varied from 59.4 to 61.8 in cooked samples. Minimum cooking time among samples was between 17.9-19.7 min. Highest elastic modulus and hardness (43.3 N/mm and 36.8 N, respectively) was found in TP sample. The NP sample had lowest adhesiveness (-0.76 J) and highest gumminess (6.40 J). Water uptake was positively correlated with amylose content (r = 0.84; P < 0.05) and lightness parameter (r = 0.92; P < 0.05).
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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 | 0.001 | 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) | 0.000 | 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 teacher head, 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".