RESPONS PERTUMBUHAN DAN PRODUKSI PADI HIBRIDA TERHADAP APLIKASI PUPUK ORGANIK CAIR LIDAH BUAYA DAN PUPUK ANORGANIK P
Bibliographic record
Abstract
This research aimed to observe the growth and production response of the Inpari 32 hybrid rice variety to the application of aloe vera liquid organic fertilizer and inorganic P fertilizer compared to the absence of the combination of these two fertilizers. The research method used was comparative, comparing rice field plots treated with a combination of inorganic P fertilizer (Phonsgreen) at a dose of 150 kg/ha and aloe vera liquid organic fertilizer (P1) at a dose of 6 liters/ha with rice field plots without the combination of the two fertilizers (P0). Parameters observed included plant height, number of tillers, number of productive tillers, panicle length, number of grains per panicle, grain weight per clump, and weight of 1000 grains. The results showed that aloe vera liquid organic fertilizer and inorganic P fertilizer could increase milled dry grain production by up to 29.9%.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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; 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".