The proximate and mineral compositions of five major rice varieties in Abakaliki, South-Eastern Nigeria
Bibliographic record
Abstract
The proximate compositions were estimated using compositional analysis of Association of Official Analytical Chemists, while the mineral element contents were determined using atomic absorption spectrophotometer. Analysis of variance shows that there is significant difference (p Faro14>Awilo>Faro15>Canada). No significant difference (p>0.05) exists in sodium, phosphorous, calcium and magnesium contents of the rice varieties studied. There is significant difference (p (Awilo, Faro15)>Sipi>Faro14) and potassium (Canada>Sipi>Awilo>Faro15>Faro14). Canada and Faro 14 varieties should get more attentions among other varieties in terms of proximate and mineral compositions. The result of this study can be exploited by rice consumers and also rice farmers in Abakaliki and its environs in their choices regarding mineral and proximate compositions. Key words: Rice varieties, proximate composition, mineral elements, Abakaliki.
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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 | 0.000 |
| 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".