Economics of potassium fertiliser application in rice, wheat and maize grown in the indo-gangetic plains
Bibliographic record
Abstract
Kaushik Majumdar, Anil Kumar, Vishal Shahi and T. Satyanarayana International Plant Nutrition Institute (IPNI)-South Asia Program, Gurgaon, Haryana, India M. L. Jat and Dalip Kumar International Maize and Wheat Improvement Centre (CIMMYT), NASC Complex, Pusa, New Delhi, India Mirasol Pampolino International Plant Nutrition Institute (IPNI)-South East Asia Program, Penang, Malaysia Naveen Gupta Punjab Agricultural University, Ludhiana, Punjab, India Vinay Singh Dr. B. R. Ambedkar University, Agra, Uttar Pradesh, India B. S. Dwivedi and M. C. Meena Indian Agricultural Research Institute (IARI), Pusa, New Delhi, India V. K. Singh Project Directorate for Farming Systems Research, Modipuram, Meerut, India B. R. Kamboj Cereal Systems Initiative for South Asia (CSISA), IRRI-CIMMYT, Haryana Hub, Karnal, India H. S. Sidhu Borlaug Institute for South Asia (BISA), CIMMYT, Ladowal, Punjab, India and Adrian Johnston International Plant Nutrition Institute (IPNI), Saskatoon, Saskatchewan, Canada Indian J. Fert., Vol. 8 (5), pp.44-53 (10 pages)
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".