Carbon sequestration and its impact on rice farming economic value: The quasi-experiment
Bibliographic record
Abstract
The increasing level of the number of carbon dioxide will raise temperature on the earth and causes global climate changes. Paris agreement has responded global warming by doing mitigation, and Indonesian Government has ratified the suggestion. This research aims to determine the rice cultivation technology system which effectively could absorb the carbon dioxide into the form of biomass and C-organic in the earth. Applying the quasi-experiment by three types of technological systems – and it was conducted in farming area of Sukakarya District, Bekasi Regency, Indonesia – the research proved the T2 (IPAT-TS planting system) – in which it applies a minimum spacing of 30 cm × 30 cm and a maximum of 50 cm × 50 cm, in aerobic soil conditions – yields the highest number of biomass straw, C-Organic, and harvest dry grain and economically gives the highest profit margin. Therefore, the research recommends the adoption of T2 as mass common farming practice especially in entisolic soil types.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".